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Book Chapter: Capturing "Trial-to-Trial" Variations in Human Brain Activity: From Laboratory to Real World

TitleCapturing "Trial-to-Trial" Variations in Human Brain Activity: From Laboratory to Real World
Authors
KeywordsBlind source separation
Issue Date2011
Citation
The Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance, 2011 How to Cite?
Abstract© 2011 by Oxford University Press, Inc. All rights reserved.To understand cognition and emotion in the real world, it is critical to investigate the phenomena of interest within the rich context of momentto- moment variations in the real world, which we assume is at least in part encoded in the high-dimensional state of the brain. Here the chapter reviews empirical evidence from a series of novel validation studies that demonstrate the technical capabilities of one blind source separation (BSS) algorithm- second-order blind identification (SOBI)-in enabling neuronscientists and clinicians to investigate human brain functions, cognition, and behavior using the electroencephalography (EEG). The chapter concludes that by shifting from an EEG-sensor-based to a neuronal-source-based characterization of brain states, one may better capture the rich context of moment-to-moment variations in the real world.
Persistent Identifierhttp://hdl.handle.net/10722/228208

 

DC FieldValueLanguage
dc.contributor.authorTang, Akaysha C.-
dc.contributor.authorSutherland, Matthew T.-
dc.contributor.authorYang, Zhen-
dc.date.accessioned2016-08-01T06:45:27Z-
dc.date.available2016-08-01T06:45:27Z-
dc.date.issued2011-
dc.identifier.citationThe Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance, 2011-
dc.identifier.urihttp://hdl.handle.net/10722/228208-
dc.description.abstract© 2011 by Oxford University Press, Inc. All rights reserved.To understand cognition and emotion in the real world, it is critical to investigate the phenomena of interest within the rich context of momentto- moment variations in the real world, which we assume is at least in part encoded in the high-dimensional state of the brain. Here the chapter reviews empirical evidence from a series of novel validation studies that demonstrate the technical capabilities of one blind source separation (BSS) algorithm- second-order blind identification (SOBI)-in enabling neuronscientists and clinicians to investigate human brain functions, cognition, and behavior using the electroencephalography (EEG). The chapter concludes that by shifting from an EEG-sensor-based to a neuronal-source-based characterization of brain states, one may better capture the rich context of moment-to-moment variations in the real world.-
dc.languageeng-
dc.relation.ispartofThe Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance-
dc.subjectBlind source separation-
dc.titleCapturing "Trial-to-Trial" Variations in Human Brain Activity: From Laboratory to Real World-
dc.typeBook_Chapter-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1093/acprof:oso/9780195393798.003.0009-
dc.identifier.scopuseid_2-s2.0-84920751678-
dc.identifier.spagenull-
dc.identifier.epagenull-

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