Cognition and Neuroergonomics Collaborative Technology Alliance - Revision history

Citation bot: Add: doi-access, s2cid. | Use this bot. Report bugs. | Suggested by Corvus florensis | #UCB_webform 409/2500

2023-11-24T09:36:47Z

Add: doi-access, s2cid. | Use this bot. Report bugs. | Suggested by Corvus florensis | #UCB_webform 409/2500

← Previous revision		Revision as of 09:36, 24 November 2023
Line 29:		Line 29:
	* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 \| bibcode = 2011Senso..11.5819L \| doi-access = free }}</ref>		* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 \| bibcode = 2011Senso..11.5819L \| doi-access = free }}</ref>
	* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one's learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>		* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one's learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>
	* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>		* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 \| s2cid = 16682661 }}</ref>
	* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 }}</ref>		* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 \| doi-access = free }}</ref>
	* Results concerning neural network control and brain structure reported the following. Densely connected areas, especially in the [[Default mode network\|default mode system]], have a large influence on the transition between cognitive states. Meanwhile, weakly connected areas, particularly in the [[Executive functions\|executive function]] system, assist in transitioning to difficult-to-reach cognitive states. The integration of various cognitive systems is accomplished by areas of the brain at the boundaries of [[neural network]]s, particularly the attentive control systems.<ref>{{cite journal \| vauthors = Gu S, Pasqualetti F, Cieslak M, Telesford QK, Yu AB, Kahn AE, Medaglia JD, Vettel JM, Miller MB, Grafton ST, Bassett DS \| title = Controllability of structural brain networks \| language = En \| journal = Nature Communications \| volume = 6 \| issue = 1 \| pages = 8414 \| date = October 2015 \| pmid = 26423222 \| pmc = 4600713 \| doi = 10.1038/ncomms9414 \| arxiv = 1406.5197 \| bibcode = 2015NatCo...6.8414G }}</ref>		* Results concerning neural network control and brain structure reported the following. Densely connected areas, especially in the [[Default mode network\|default mode system]], have a large influence on the transition between cognitive states. Meanwhile, weakly connected areas, particularly in the [[Executive functions\|executive function]] system, assist in transitioning to difficult-to-reach cognitive states. The integration of various cognitive systems is accomplished by areas of the brain at the boundaries of [[neural network]]s, particularly the attentive control systems.<ref>{{cite journal \| vauthors = Gu S, Pasqualetti F, Cieslak M, Telesford QK, Yu AB, Kahn AE, Medaglia JD, Vettel JM, Miller MB, Grafton ST, Bassett DS \| title = Controllability of structural brain networks \| language = En \| journal = Nature Communications \| volume = 6 \| issue = 1 \| pages = 8414 \| date = October 2015 \| pmid = 26423222 \| pmc = 4600713 \| doi = 10.1038/ncomms9414 \| arxiv = 1406.5197 \| bibcode = 2015NatCo...6.8414G }}</ref>
	* A filter bank [[Canonical correlation\|CCA]]-based frequency detection analysis was used to improve the detection of [[Steady state visually evoked potential\|SSVEPs]]. This CCA assisted in improving the speed of SSVEP-based BCI technology.<ref>{{Cite journal\|title=Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface\|journal=Journal of Neural Engineering\|volume=12\|issue=4\|pages=046008\|doi=10.1088/1741-2560/12/4/046008\|pmid=26035476\|year=2015\|last1=Chen\|first1=Xiaogang\|last2=Wang\|first2=Yijun\|last3=Gao\|first3=Shangkai\|last4=Jung\|first4=Tzyy-Ping\|last5=Gao\|first5=Xiaorong\|bibcode=2015JNEng..12d6008C}}</ref>		* A filter bank [[Canonical correlation\|CCA]]-based frequency detection analysis was used to improve the detection of [[Steady state visually evoked potential\|SSVEPs]]. This CCA assisted in improving the speed of SSVEP-based BCI technology.<ref>{{Cite journal\|title=Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface\|journal=Journal of Neural Engineering\|volume=12\|issue=4\|pages=046008\|doi=10.1088/1741-2560/12/4/046008\|pmid=26035476\|year=2015\|last1=Chen\|first1=Xiaogang\|last2=Wang\|first2=Yijun\|last3=Gao\|first3=Shangkai\|last4=Jung\|first4=Tzyy-Ping\|last5=Gao\|first5=Xiaorong\|bibcode=2015JNEng..12d6008C\|s2cid=44588896 }}</ref>

	== References ==		== References ==

Oloddin at 04:03, 9 November 2023

2023-11-09T04:03:57Z

← Previous revision		Revision as of 04:03, 9 November 2023
Line 1:		Line 1:
	{{short description\|US Army research program}}		{{short description\|US Army research program}}
	{{Multiple issues\|
	{{Orphan\|date=September 2023}}
	{{COI\|date=September 2018}}		{{COI\|date=September 2018}}
	}}

	The '''Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance''' was a research program initiated, sponsored and partly performed by the [[United States Army Research Laboratory\|U.S. Army Research Laboratory]]. The objective of the program was to “conduct research and development leading to the demonstration of fundamental translational principles of the application of neuroscience-based research and theory to complex operational settings. These principles will guide the development of technologies that work in harmony with the capabilities and limitations of the human nervous system.”<ref name=":0">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=393\|title=Cognition & Neuroergonomics {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref>		The '''Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance''' was a research program initiated, sponsored and partly performed by the [[United States Army Research Laboratory\|U.S. Army Research Laboratory]]. The objective of the program was to “conduct research and development leading to the demonstration of fundamental translational principles of the application of neuroscience-based research and theory to complex operational settings. These principles will guide the development of technologies that work in harmony with the capabilities and limitations of the human nervous system.”<ref name=":0">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=393\|title=Cognition & Neuroergonomics {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref>

Ost316: WP:AWB WP:CHECKWIKI 16/90/91 cleanup, et. al., added orphan tag, typo(s) fixed: ’s → 's (5)

2023-09-04T07:26:56Z

WP:AWB WP:CHECKWIKI 16/90/91 cleanup, et. al., added orphan tag, typo(s) fixed: ’s → 's (5)

← Previous revision		Revision as of 07:26, 4 September 2023
Line 1:		Line 1:
	{{short description\|US Army research program}}		{{short description\|US Army research program}}
			{{Multiple issues\|
			{{Orphan\|date=September 2023}}
	{{COI\|date=September 2018}}		{{COI\|date=September 2018}}
			}}

	The '''Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance''' was a research program initiated, sponsored and partly performed by the [[United States Army Research Laboratory\|U.S. Army Research Laboratory]]. The objective of the program was to “conduct research and development leading to the demonstration of fundamental translational principles of the application of neuroscience-based research and theory to complex operational settings. These principles will guide the development of technologies that work in harmony with the capabilities and limitations of the human nervous system.”<ref name=":0">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=393\|title=Cognition & Neuroergonomics {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref>		The '''Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance''' was a research program initiated, sponsored and partly performed by the [[United States Army Research Laboratory\|U.S. Army Research Laboratory]]. The objective of the program was to “conduct research and development leading to the demonstration of fundamental translational principles of the application of neuroscience-based research and theory to complex operational settings. These principles will guide the development of technologies that work in harmony with the capabilities and limitations of the human nervous system.”<ref name=":0">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=393\|title=Cognition & Neuroergonomics {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref>

	Collaboration Technology and Research Alliances describe cooperative research and technology efforts between private industry, academia, and Army laboratories and centers.<ref name=":1">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=93\|title=Collaborative Alliances {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref> This collaboration allows Army researchers and engineers to join academic research developments and the ~~industry’s~~ production abilities and translate them into improving Army capabilities.<ref name=":2">{{Cite web\|url=https://www.cancta.net/organization.shtml\|title=CaN CTA\|website=www.cancta.net\|access-date=2018-09-04}}</ref>		Collaboration Technology and Research Alliances describe cooperative research and technology efforts between private industry, academia, and Army laboratories and centers.<ref name=":1">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=93\|title=Collaborative Alliances {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref> This collaboration allows Army researchers and engineers to join academic research developments and the industry's production abilities and translate them into improving Army capabilities.<ref name=":2">{{Cite web\|url=https://www.cancta.net/organization.shtml\|title=CaN CTA\|website=www.cancta.net\|access-date=2018-09-04}}</ref>

	== History ==		== History ==
Line 18:		Line 22:

	* Advanced Computational Approaches (ACA) was to develop methods to decode, monitor, and infer state from both neural and non-neural information. As research progressed, it focused on data from [[Integrated circuit#SSI, MSI, LSI\|Large Scale Integrative]] experiments as well experimental data sets from the other two thrusts of the CaN CTA.		* Advanced Computational Approaches (ACA) was to develop methods to decode, monitor, and infer state from both neural and non-neural information. As research progressed, it focused on data from [[Integrated circuit#SSI, MSI, LSI\|Large Scale Integrative]] experiments as well experimental data sets from the other two thrusts of the CaN CTA.
	* Real World Neuroimaging (RWN) was to assist in studying the brain outside of the laboratory setting. Citation This branch has prioritized engineering and experimental studies with wireless [[Electroencephalography#Dry EEG electrodes\|dry electrodes]] EEG system. This emphasis was made to improve dry EEG systems’ reliability and performance, determine standards of validity for them, and better understand their applications in real world neuroimaging. Another one of ~~RWN’s~~ research concentrations was studying how stress and fatigue affect behavior in the real world.		* Real World Neuroimaging (RWN) was to assist in studying the brain outside of the laboratory setting. Citation This branch has prioritized engineering and experimental studies with wireless [[Electroencephalography#Dry EEG electrodes\|dry electrodes]] EEG system. This emphasis was made to improve dry EEG systems’ reliability and performance, determine standards of validity for them, and better understand their applications in real world neuroimaging. Another one of RWN's research concentrations was studying how stress and fatigue affect behavior in the real world.
	* Brain Computer Interactions (BCI) was established to improve [[Brain–computer interface\|BCI technologies]] and improve human-robot communication. The poor robustness witnessed in many BCI technologies has been attributed to the ability of neural responses to change over time and that individuals may have different neural outputs to the same stimuli. BCI concentrated on using machine learning and developing an algorithm that would maintain a strong performance BCI ~~technology’s~~ despite changes in an ~~individual’s~~ mental state. Other example areas of interest were combining [[Intelligent tutoring system\|intelligent tutoring]] with BCI technologies, and improving human-robot communication via [[Rapid serial visual presentation\|rapid series visual presentations]] with EEG.		* Brain Computer Interactions (BCI) was established to improve [[Brain–computer interface\|BCI technologies]] and improve human-robot communication. The poor robustness witnessed in many BCI technologies has been attributed to the ability of neural responses to change over time and that individuals may have different neural outputs to the same stimuli. BCI concentrated on using machine learning and developing an algorithm that would maintain a strong performance BCI technology's despite changes in an individual's mental state. Other example areas of interest were combining [[Intelligent tutoring system\|intelligent tutoring]] with BCI technologies, and improving human-robot communication via [[Rapid serial visual presentation\|rapid series visual presentations]] with EEG.

	== Results ==		== Results ==
Line 27:		Line 31:
	* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>		* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>
	* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 \| bibcode = 2011Senso..11.5819L \| doi-access = free }}</ref>		* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 \| bibcode = 2011Senso..11.5819L \| doi-access = free }}</ref>
	* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of ~~one’s~~ learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>		* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one's learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>
	* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>		* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>
	* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 }}</ref>		* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 }}</ref>

Pppery: Tidy up

2023-07-20T01:04:42Z

Tidy up

@@ Line 13: / Line 13: @@
 The CaN identified limitations in the field of cognitive neuroscience that needed attention. The limited conditions in a laboratory setting could not integrate the spans of physical and socio-cultural factors found in real world environments. Systems that monitor brain and body dynamics that are portable, robust, minimally invasive, and affordable have been underdeveloped. There were not enough software or mathematical models devoted to reporting variations in environment, behavior, and function in real time. The program sought to remedy these problems and leverage the solutions for the benefit of the soldier. CaN established the need for a new experimental environment where multisensory analysis can occur and wearable sensors that monitor brain and body dynamics. Additionally, it called for data sets and development of methods to allow for more in-depth characterization of behavior and variation in cognitive ability, performance, and personality.<ref name=":2" />
-== Research Thrusts ==
+== Research thrusts ==
 Three primary research focuses were identified and pursued within the CaN program:<ref name=":0" /><ref name=":2" />
 == Results ==

Pppery: Pppery moved page Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance to Cognition and Neuroergonomics Collaborative Technology Alliance: Avoid Name (acronym)

2023-06-24T03:28:49Z

Pppery moved page Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance to Cognition and Neuroergonomics Collaborative Technology Alliance: Avoid Name (acronym)

← Previous revision	Revision as of 03:28, 24 June 2023
(No difference)

Surya923: research developments and the industry’s production

2023-05-29T09:40:29Z

research developments and the industry’s production

← Previous revision		Revision as of 09:40, 29 May 2023
Line 3:		Line 3:
	The '''Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance''' was a research program initiated, sponsored and partly performed by the [[United States Army Research Laboratory\|U.S. Army Research Laboratory]]. The objective of the program was to “conduct research and development leading to the demonstration of fundamental translational principles of the application of neuroscience-based research and theory to complex operational settings. These principles will guide the development of technologies that work in harmony with the capabilities and limitations of the human nervous system.”<ref name=":0">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=393\|title=Cognition & Neuroergonomics {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref>		The '''Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance''' was a research program initiated, sponsored and partly performed by the [[United States Army Research Laboratory\|U.S. Army Research Laboratory]]. The objective of the program was to “conduct research and development leading to the demonstration of fundamental translational principles of the application of neuroscience-based research and theory to complex operational settings. These principles will guide the development of technologies that work in harmony with the capabilities and limitations of the human nervous system.”<ref name=":0">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=393\|title=Cognition & Neuroergonomics {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref>

	Collaboration Technology and Research Alliances describe cooperative research and technology efforts between private industry, academia, and Army laboratories and centers.<ref name=":1">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=93\|title=Collaborative Alliances {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref> This collaboration allows Army researchers and engineers to join academic research developments and industry’s production abilities and translate them into improving Army capabilities.<ref name=":2">{{Cite web\|url=https://www.cancta.net/organization.shtml\|title=CaN CTA\|website=www.cancta.net\|access-date=2018-09-04}}</ref>		Collaboration Technology and Research Alliances describe cooperative research and technology efforts between private industry, academia, and Army laboratories and centers.<ref name=":1">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=93\|title=Collaborative Alliances {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref> This collaboration allows Army researchers and engineers to join academic research developments and the industry’s production abilities and translate them into improving Army capabilities.<ref name=":2">{{Cite web\|url=https://www.cancta.net/organization.shtml\|title=CaN CTA\|website=www.cancta.net\|access-date=2018-09-04}}</ref>

	== History ==		== History ==

Citation bot: Add: doi-access, bibcode. | Use this bot. Report bugs. | Suggested by Headbomb | Linked from Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia/Sandbox | #UCB_webform_linked 804/1012

2021-10-03T18:34:16Z

Add: doi-access, bibcode. | Use this bot. Report bugs. | Suggested by Headbomb | Linked from Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia/Sandbox | #UCB_webform_linked 804/1012

← Previous revision		Revision as of 18:34, 3 October 2021
Line 52:		Line 52:

	* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>		* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>
	* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 }}</ref>		* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 \| bibcode = 2011Senso..11.5819L \| doi-access = free }}</ref>
	* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one’s learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>		* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one’s learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>
	* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>		* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>

Citation bot: Alter: template type. Add: pmc, pmid, doi, pages, issue, volume, journal, arxiv. Removed parameters. Formatted dashes. Some additions/deletions were actually parameter name changes. | You can use this bot yourself. Report bugs here. | Activated by SemperIocundus | via #UCB_webform

2020-06-06T12:26:09Z

Alter: template type. Add: pmc, pmid, doi, pages, issue, volume, journal, arxiv. Removed parameters. Formatted dashes. Some additions/deletions were actually parameter name changes. | You can use this bot yourself. Report bugs here. | Activated by SemperIocundus | via #UCB_webform

← Previous revision		Revision as of 12:26, 6 June 2020
Line 53:		Line 53:
	* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>		* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>
	* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 }}</ref>		* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 }}</ref>
	* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one’s learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite ~~arXiv~~\|title=Learning-Induced Autonomy of Sensorimotor Systems\|~~eprint~~ = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|~~class~~ = ~~q-bio.NC~~\|year = 2014}}</ref>		* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one’s learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>
	* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>		* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>
	* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 }}</ref>		* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 }}</ref>

Citation bot: Alter: template type. Add: bibcode, class, eprint, year, pmc, pmid, doi, pages, issue, volume, journal, author pars. 1-5. Removed URL that duplicated unique identifier. Removed parameters. Formatted dashes. Some additions/deletions were actually parameter name changes.| You can use this bot yourself. Report bugs here.| Activated by User:Headbomb

2019-07-29T04:05:50Z

Alter: template type. Add: bibcode, class, eprint, year, pmc, pmid, doi, pages, issue, volume, journal, author pars. 1-5. Removed URL that duplicated unique identifier. Removed parameters. Formatted dashes. Some additions/deletions were actually parameter name changes.| You can use this bot yourself. Report bugs here.| Activated by User:Headbomb

← Previous revision		Revision as of 04:05, 29 July 2019
Line 51:		Line 51:
	Examples of research results developed by the CaN program include the following:		Examples of research results developed by the CaN program include the following:

	* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite ~~web\|url=https://www.physiology.org/doi/pdf/10.1152/jn.00744.2012~~\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|~~last~~=\|~~first~~=\|~~date~~=\|~~website~~=\|~~archive-url~~=\|~~archive-date~~=\|~~dead-url~~=\|~~access-date~~=}}</ref>		* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>
	* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| ~~doi~~ = ~~10.3390/s110605819~~ \| ~~url~~ = ~~http://www~~.~~mdpi.com~~/~~1424-8220/11/6/5819~~ }}</ref>		* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 }}</ref>
	* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one’s learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite ~~web\|url=https://arxiv.org/pdf/1403.6034.pdf~~\|title=Learning-Induced Autonomy of Sensorimotor Systems\|~~last~~=\|~~first~~=\|~~date~~=\|~~website~~=\|~~archive-url~~=\|~~archive-date~~=\|~~dead-url~~=\|~~access~~-~~date~~=}}</ref>		* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one’s learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite arXiv\|title=Learning-Induced Autonomy of Sensorimotor Systems\|eprint = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|class = q-bio.NC\|year = 2014}}</ref>
	* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>		* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>
	* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = ~~10.1186/1743-0003-9-35 \| url = https://jneuroengrehab.biomedcentral.com/articles/~~10.1186/1743-0003-9-35 }}</ref>		* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 }}</ref>
	* Results concerning neural network control and brain structure reported the following. Densely connected areas, especially in the [[Default mode network\|default mode system]], have a large influence on the transition between cognitive states. Meanwhile, weakly connected areas, particularly in the [[Executive functions\|executive function]] system, assist in transitioning to difficult-to-reach cognitive states. The integration of various cognitive systems is accomplished by areas of the brain at the boundaries of [[neural network]]s, particularly the attentive control systems.<ref>{{cite journal \| vauthors = Gu S, Pasqualetti F, Cieslak M, Telesford QK, Yu AB, Kahn AE, Medaglia JD, Vettel JM, Miller MB, Grafton ST, Bassett DS \| title = Controllability of structural brain networks \| language = En \| journal = Nature Communications \| volume = 6 \| issue = 1 \| pages = 8414 \| date = October 2015 \| pmid = 26423222 \| doi = 10.1038/ncomms9414 \| ~~url~~ = ~~https://www~~.~~nature.com/articles/ncomms9414~~ \| ~~arxiv~~ = ~~1406~~.~~5197~~ }}</ref>		* Results concerning neural network control and brain structure reported the following. Densely connected areas, especially in the [[Default mode network\|default mode system]], have a large influence on the transition between cognitive states. Meanwhile, weakly connected areas, particularly in the [[Executive functions\|executive function]] system, assist in transitioning to difficult-to-reach cognitive states. The integration of various cognitive systems is accomplished by areas of the brain at the boundaries of [[neural network]]s, particularly the attentive control systems.<ref>{{cite journal \| vauthors = Gu S, Pasqualetti F, Cieslak M, Telesford QK, Yu AB, Kahn AE, Medaglia JD, Vettel JM, Miller MB, Grafton ST, Bassett DS \| title = Controllability of structural brain networks \| language = En \| journal = Nature Communications \| volume = 6 \| issue = 1 \| pages = 8414 \| date = October 2015 \| pmid = 26423222 \| pmc = 4600713 \| doi = 10.1038/ncomms9414 \| arxiv = 1406.5197 \| bibcode = 2015NatCo...6.8414G }}</ref>
	* A filter bank [[Canonical correlation\|CCA]]-based frequency detection analysis was used to improve the detection of [[Steady state visually evoked potential\|SSVEPs]]. This CCA assisted in improving the speed of SSVEP-based BCI technology.<ref>{{Cite ~~web\|url=http://iopscience.iop.org/article/10.1088/1741-2560/12/4/046008/ampdf~~\|title=Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface\|~~last~~=\|~~first~~=\|~~date~~=\|~~website~~=\|~~archive~~-~~url~~=\|~~archive-date~~=\|~~dead-url~~=\|~~access~~-~~date~~=}}</ref>		* A filter bank [[Canonical correlation\|CCA]]-based frequency detection analysis was used to improve the detection of [[Steady state visually evoked potential\|SSVEPs]]. This CCA assisted in improving the speed of SSVEP-based BCI technology.<ref>{{Cite journal\|title=Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface\|journal=Journal of Neural Engineering\|volume=12\|issue=4\|pages=046008\|doi=10.1088/1741-2560/12/4/046008\|pmid=26035476\|year=2015\|last1=Chen\|first1=Xiaogang\|last2=Wang\|first2=Yijun\|last3=Gao\|first3=Shangkai\|last4=Jung\|first4=Tzyy-Ping\|last5=Gao\|first5=Xiaorong\|bibcode=2015JNEng..12d6008C}}</ref>

	== References ==		== References ==

OAbot: Open access bot: add arxiv identifier to citation with #oabot.

2019-07-25T12:55:34Z

Open access bot: add arxiv identifier to citation with #oabot.

← Previous revision		Revision as of 12:55, 25 July 2019
Line 56:		Line 56:
	* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>		* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>
	* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 \| url = https://jneuroengrehab.biomedcentral.com/articles/10.1186/1743-0003-9-35 }}</ref>		* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 \| url = https://jneuroengrehab.biomedcentral.com/articles/10.1186/1743-0003-9-35 }}</ref>
	* Results concerning neural network control and brain structure reported the following. Densely connected areas, especially in the [[Default mode network\|default mode system]], have a large influence on the transition between cognitive states. Meanwhile, weakly connected areas, particularly in the [[Executive functions\|executive function]] system, assist in transitioning to difficult-to-reach cognitive states. The integration of various cognitive systems is accomplished by areas of the brain at the boundaries of [[neural network]]s, particularly the attentive control systems.<ref>{{cite journal \| vauthors = Gu S, Pasqualetti F, Cieslak M, Telesford QK, Yu AB, Kahn AE, Medaglia JD, Vettel JM, Miller MB, Grafton ST, Bassett DS \| title = Controllability of structural brain networks \| language = En \| journal = Nature Communications \| volume = 6 \| issue = 1 \| pages = 8414 \| date = October 2015 \| pmid = 26423222 \| doi = 10.1038/ncomms9414 \| url = https://www.nature.com/articles/ncomms9414 }}</ref>		* Results concerning neural network control and brain structure reported the following. Densely connected areas, especially in the [[Default mode network\|default mode system]], have a large influence on the transition between cognitive states. Meanwhile, weakly connected areas, particularly in the [[Executive functions\|executive function]] system, assist in transitioning to difficult-to-reach cognitive states. The integration of various cognitive systems is accomplished by areas of the brain at the boundaries of [[neural network]]s, particularly the attentive control systems.<ref>{{cite journal \| vauthors = Gu S, Pasqualetti F, Cieslak M, Telesford QK, Yu AB, Kahn AE, Medaglia JD, Vettel JM, Miller MB, Grafton ST, Bassett DS \| title = Controllability of structural brain networks \| language = En \| journal = Nature Communications \| volume = 6 \| issue = 1 \| pages = 8414 \| date = October 2015 \| pmid = 26423222 \| doi = 10.1038/ncomms9414 \| url = https://www.nature.com/articles/ncomms9414 \| arxiv = 1406.5197 }}</ref>
	* A filter bank [[Canonical correlation\|CCA]]-based frequency detection analysis was used to improve the detection of [[Steady state visually evoked potential\|SSVEPs]]. This CCA assisted in improving the speed of SSVEP-based BCI technology.<ref>{{Cite web\|url=http://iopscience.iop.org/article/10.1088/1741-2560/12/4/046008/ampdf\|title=Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface\|last=\|first=\|date=\|website=\|archive-url=\|archive-date=\|dead-url=\|access-date=}}</ref>		* A filter bank [[Canonical correlation\|CCA]]-based frequency detection analysis was used to improve the detection of [[Steady state visually evoked potential\|SSVEPs]]. This CCA assisted in improving the speed of SSVEP-based BCI technology.<ref>{{Cite web\|url=http://iopscience.iop.org/article/10.1088/1741-2560/12/4/046008/ampdf\|title=Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface\|last=\|first=\|date=\|website=\|archive-url=\|archive-date=\|dead-url=\|access-date=}}</ref>

← Previous revision		Revision as of 09:36, 24 November 2023
Line 29:		Line 29:
	* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 \| bibcode = 2011Senso..11.5819L \| doi-access = free }}</ref>		* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 \| bibcode = 2011Senso..11.5819L \| doi-access = free }}</ref>
	* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one's learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>		* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one's learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>
	* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>		* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 \| s2cid = 16682661 }}</ref>
	* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 }}</ref>		* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 \| doi-access = free }}</ref>
	* Results concerning neural network control and brain structure reported the following. Densely connected areas, especially in the [[Default mode network\|default mode system]], have a large influence on the transition between cognitive states. Meanwhile, weakly connected areas, particularly in the [[Executive functions\|executive function]] system, assist in transitioning to difficult-to-reach cognitive states. The integration of various cognitive systems is accomplished by areas of the brain at the boundaries of [[neural network]]s, particularly the attentive control systems.<ref>{{cite journal \| vauthors = Gu S, Pasqualetti F, Cieslak M, Telesford QK, Yu AB, Kahn AE, Medaglia JD, Vettel JM, Miller MB, Grafton ST, Bassett DS \| title = Controllability of structural brain networks \| language = En \| journal = Nature Communications \| volume = 6 \| issue = 1 \| pages = 8414 \| date = October 2015 \| pmid = 26423222 \| pmc = 4600713 \| doi = 10.1038/ncomms9414 \| arxiv = 1406.5197 \| bibcode = 2015NatCo...6.8414G }}</ref>		* Results concerning neural network control and brain structure reported the following. Densely connected areas, especially in the [[Default mode network\|default mode system]], have a large influence on the transition between cognitive states. Meanwhile, weakly connected areas, particularly in the [[Executive functions\|executive function]] system, assist in transitioning to difficult-to-reach cognitive states. The integration of various cognitive systems is accomplished by areas of the brain at the boundaries of [[neural network]]s, particularly the attentive control systems.<ref>{{cite journal \| vauthors = Gu S, Pasqualetti F, Cieslak M, Telesford QK, Yu AB, Kahn AE, Medaglia JD, Vettel JM, Miller MB, Grafton ST, Bassett DS \| title = Controllability of structural brain networks \| language = En \| journal = Nature Communications \| volume = 6 \| issue = 1 \| pages = 8414 \| date = October 2015 \| pmid = 26423222 \| pmc = 4600713 \| doi = 10.1038/ncomms9414 \| arxiv = 1406.5197 \| bibcode = 2015NatCo...6.8414G }}</ref>
	* A filter bank [[Canonical correlation\|CCA]]-based frequency detection analysis was used to improve the detection of [[Steady state visually evoked potential\|SSVEPs]]. This CCA assisted in improving the speed of SSVEP-based BCI technology.<ref>{{Cite journal\|title=Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface\|journal=Journal of Neural Engineering\|volume=12\|issue=4\|pages=046008\|doi=10.1088/1741-2560/12/4/046008\|pmid=26035476\|year=2015\|last1=Chen\|first1=Xiaogang\|last2=Wang\|first2=Yijun\|last3=Gao\|first3=Shangkai\|last4=Jung\|first4=Tzyy-Ping\|last5=Gao\|first5=Xiaorong\|bibcode=2015JNEng..12d6008C}}</ref>		* A filter bank [[Canonical correlation\|CCA]]-based frequency detection analysis was used to improve the detection of [[Steady state visually evoked potential\|SSVEPs]]. This CCA assisted in improving the speed of SSVEP-based BCI technology.<ref>{{Cite journal\|title=Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface\|journal=Journal of Neural Engineering\|volume=12\|issue=4\|pages=046008\|doi=10.1088/1741-2560/12/4/046008\|pmid=26035476\|year=2015\|last1=Chen\|first1=Xiaogang\|last2=Wang\|first2=Yijun\|last3=Gao\|first3=Shangkai\|last4=Jung\|first4=Tzyy-Ping\|last5=Gao\|first5=Xiaorong\|bibcode=2015JNEng..12d6008C\|s2cid=44588896 }}</ref>

	== References ==		== References ==

← Previous revision		Revision as of 04:03, 9 November 2023
Line 1:		Line 1:
	{{short description\|US Army research program}}		{{short description\|US Army research program}}
	{{Multiple issues\|
	{{Orphan\|date=September 2023}}
	{{COI\|date=September 2018}}		{{COI\|date=September 2018}}
	}}

	The '''Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance''' was a research program initiated, sponsored and partly performed by the [[United States Army Research Laboratory\|U.S. Army Research Laboratory]]. The objective of the program was to “conduct research and development leading to the demonstration of fundamental translational principles of the application of neuroscience-based research and theory to complex operational settings. These principles will guide the development of technologies that work in harmony with the capabilities and limitations of the human nervous system.”<ref name=":0">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=393\|title=Cognition & Neuroergonomics {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref>		The '''Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance''' was a research program initiated, sponsored and partly performed by the [[United States Army Research Laboratory\|U.S. Army Research Laboratory]]. The objective of the program was to “conduct research and development leading to the demonstration of fundamental translational principles of the application of neuroscience-based research and theory to complex operational settings. These principles will guide the development of technologies that work in harmony with the capabilities and limitations of the human nervous system.”<ref name=":0">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=393\|title=Cognition & Neuroergonomics {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref>

← Previous revision		Revision as of 07:26, 4 September 2023
Line 1:		Line 1:
	{{short description\|US Army research program}}		{{short description\|US Army research program}}
			{{Multiple issues\|
			{{Orphan\|date=September 2023}}
	{{COI\|date=September 2018}}		{{COI\|date=September 2018}}
			}}

	The '''Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance''' was a research program initiated, sponsored and partly performed by the [[United States Army Research Laboratory\|U.S. Army Research Laboratory]]. The objective of the program was to “conduct research and development leading to the demonstration of fundamental translational principles of the application of neuroscience-based research and theory to complex operational settings. These principles will guide the development of technologies that work in harmony with the capabilities and limitations of the human nervous system.”<ref name=":0">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=393\|title=Cognition & Neuroergonomics {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref>		The '''Cognition and Neuroergonomics (CaN) Collaborative Technology Alliance''' was a research program initiated, sponsored and partly performed by the [[United States Army Research Laboratory\|U.S. Army Research Laboratory]]. The objective of the program was to “conduct research and development leading to the demonstration of fundamental translational principles of the application of neuroscience-based research and theory to complex operational settings. These principles will guide the development of technologies that work in harmony with the capabilities and limitations of the human nervous system.”<ref name=":0">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=393\|title=Cognition & Neuroergonomics {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref>

	Collaboration Technology and Research Alliances describe cooperative research and technology efforts between private industry, academia, and Army laboratories and centers.<ref name=":1">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=93\|title=Collaborative Alliances {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref> This collaboration allows Army researchers and engineers to join academic research developments and the ~~industry’s~~ production abilities and translate them into improving Army capabilities.<ref name=":2">{{Cite web\|url=https://www.cancta.net/organization.shtml\|title=CaN CTA\|website=www.cancta.net\|access-date=2018-09-04}}</ref>		Collaboration Technology and Research Alliances describe cooperative research and technology efforts between private industry, academia, and Army laboratories and centers.<ref name=":1">{{Cite web\|url=https://www.arl.army.mil/www/default.cfm?page=93\|title=Collaborative Alliances {{!}} U.S. Army Research Laboratory\|website=www.arl.army.mil\|language=en\|access-date=2018-09-04}}</ref> This collaboration allows Army researchers and engineers to join academic research developments and the industry's production abilities and translate them into improving Army capabilities.<ref name=":2">{{Cite web\|url=https://www.cancta.net/organization.shtml\|title=CaN CTA\|website=www.cancta.net\|access-date=2018-09-04}}</ref>

	== History ==		== History ==
Line 18:		Line 22:

	* Advanced Computational Approaches (ACA) was to develop methods to decode, monitor, and infer state from both neural and non-neural information. As research progressed, it focused on data from [[Integrated circuit#SSI, MSI, LSI\|Large Scale Integrative]] experiments as well experimental data sets from the other two thrusts of the CaN CTA.		* Advanced Computational Approaches (ACA) was to develop methods to decode, monitor, and infer state from both neural and non-neural information. As research progressed, it focused on data from [[Integrated circuit#SSI, MSI, LSI\|Large Scale Integrative]] experiments as well experimental data sets from the other two thrusts of the CaN CTA.
	* Real World Neuroimaging (RWN) was to assist in studying the brain outside of the laboratory setting. Citation This branch has prioritized engineering and experimental studies with wireless [[Electroencephalography#Dry EEG electrodes\|dry electrodes]] EEG system. This emphasis was made to improve dry EEG systems’ reliability and performance, determine standards of validity for them, and better understand their applications in real world neuroimaging. Another one of ~~RWN’s~~ research concentrations was studying how stress and fatigue affect behavior in the real world.		* Real World Neuroimaging (RWN) was to assist in studying the brain outside of the laboratory setting. Citation This branch has prioritized engineering and experimental studies with wireless [[Electroencephalography#Dry EEG electrodes\|dry electrodes]] EEG system. This emphasis was made to improve dry EEG systems’ reliability and performance, determine standards of validity for them, and better understand their applications in real world neuroimaging. Another one of RWN's research concentrations was studying how stress and fatigue affect behavior in the real world.
	* Brain Computer Interactions (BCI) was established to improve [[Brain–computer interface\|BCI technologies]] and improve human-robot communication. The poor robustness witnessed in many BCI technologies has been attributed to the ability of neural responses to change over time and that individuals may have different neural outputs to the same stimuli. BCI concentrated on using machine learning and developing an algorithm that would maintain a strong performance BCI ~~technology’s~~ despite changes in an ~~individual’s~~ mental state. Other example areas of interest were combining [[Intelligent tutoring system\|intelligent tutoring]] with BCI technologies, and improving human-robot communication via [[Rapid serial visual presentation\|rapid series visual presentations]] with EEG.		* Brain Computer Interactions (BCI) was established to improve [[Brain–computer interface\|BCI technologies]] and improve human-robot communication. The poor robustness witnessed in many BCI technologies has been attributed to the ability of neural responses to change over time and that individuals may have different neural outputs to the same stimuli. BCI concentrated on using machine learning and developing an algorithm that would maintain a strong performance BCI technology's despite changes in an individual's mental state. Other example areas of interest were combining [[Intelligent tutoring system\|intelligent tutoring]] with BCI technologies, and improving human-robot communication via [[Rapid serial visual presentation\|rapid series visual presentations]] with EEG.

	== Results ==		== Results ==
Line 27:		Line 31:
	* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>		* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>
	* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 \| bibcode = 2011Senso..11.5819L \| doi-access = free }}</ref>		* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 \| bibcode = 2011Senso..11.5819L \| doi-access = free }}</ref>
	* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of ~~one’s~~ learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>		* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one's learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>
	* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>		* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>
	* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 }}</ref>		* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 }}</ref>

← Previous revision		Revision as of 18:34, 3 October 2021
Line 52:		Line 52:

	* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>		* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>
	* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 }}</ref>		* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 \| bibcode = 2011Senso..11.5819L \| doi-access = free }}</ref>
	* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one’s learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>		* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one’s learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>
	* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>		* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>

← Previous revision		Revision as of 12:26, 6 June 2020
Line 53:		Line 53:
	* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>		* The identification of a multifocal theta band indicating a loss of balance during a balance beam walking exercise. The knowledge of electrocortical indications for balance loss could allow for a better clinical assessment. Preventative measures could be made for those predisposed to falls who exhibit this neural behavior.<ref>{{Cite journal\|title=Loss of balance during balance beam walking elicits a multifocal theta band electrocortical response\|journal=Journal of Neurophysiology\|volume=110\|issue=9\|pages=2050–2060\|doi=10.1152/jn.00744.2012\|pmid=23926037\|pmc=3841925\|year=2013\|last1=Sipp\|first1=Amy R.\|last2=Gwin\|first2=Joseph T.\|last3=Makeig\|first3=Scott\|last4=Ferris\|first4=Daniel P.}}</ref>
	* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 }}</ref>		* A novel dry EEG electrode providing reliable results when applied to the scalp without any skin preparation. Researchers engineered this electrode to include a sensor-buffer effect, so that the application of force to the electrode against the scalp does not cause pain.<ref>{{cite journal \| vauthors = Liao LD, Wang IJ, Chen SF, Chang JY, Lin CT \| title = Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation \| journal = Sensors \| volume = 11 \| issue = 6 \| pages = 5819–34 \| date = 2011-05-30 \| pmid = 22163929 \| pmc = 3231409 \| doi = 10.3390/s110605819 }}</ref>
	* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one’s learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite ~~arXiv~~\|title=Learning-Induced Autonomy of Sensorimotor Systems\|~~eprint~~ = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|~~class~~ = ~~q-bio.NC~~\|year = 2014}}</ref>		* Using fMRI and a novel network analysis algorithm, researchers witnessed autonomy in the sensorimotor cortex throughout the motor learning process. The rate of one’s learning was due to personalized differences in the frontal and cingulate cortices.<ref>{{Cite journal\|title=Learning-Induced Autonomy of Sensorimotor Systems\|arxiv = 1403.6034\|last1 = Bassett\|first1 = Danielle S.\|last2 = Yang\|first2 = Muzhi\|last3 = Wymbs\|first3 = Nicholas F.\|last4 = Grafton\|first4 = Scott T.\|journal = Nature Neuroscience\|year = 2014\|volume = 18\|issue = 5\|pages = 744–51\|doi = 10.1038/nn.3993\|pmid = 25849989\|pmc = 6368853}}</ref>
	* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>		* An SSVEP BCI computer spelling program was developed. The spelling program operated at 40 words per minute and at a relatively high information transfer rate.<ref>{{cite journal \| vauthors = Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP \| title = A high-speed brain speller using steady-state visual evoked potentials \| journal = International Journal of Neural Systems \| volume = 24 \| issue = 6 \| pages = 1450019 \| date = September 2014 \| pmid = 25081427 \| doi = 10.1142/S0129065714500191 }}</ref>
	* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 }}</ref>		* Electrocortical dynamics were studied in relation to [[Isotonic contraction\|isotonic]] and [[Isometric exercise\|isometric]] lower limb muscle contractions. EEG in combination with an [[independent component analysis]] were used as a method of functional neuroimaging to better understand the relationship between muscle activity and electrocortical signals. This EEG/ICA system was reported to predict knee to ankle movements with 80% accuracy.<ref>{{cite journal \| vauthors = Gwin JT, Ferris DP \| title = An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions \| language = En \| journal = Journal of Neuroengineering and Rehabilitation \| volume = 9 \| issue = 1 \| pages = 35 \| date = June 2012 \| pmid = 22682644 \| pmc = 3476535 \| doi = 10.1186/1743-0003-9-35 }}</ref>