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On the simulation of the brain activity: A brief survey

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dc.title On the simulation of the brain activity: A brief survey en
dc.contributor.author Švejda, Jaromír
dc.contributor.author Žák, Roman
dc.contributor.author Jašek, Roman
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Modern Trends and Techniques in Computer Science (CSOC 2014)
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-331906739-1
dc.date.issued 2014
utb.relation.volume 285
dc.citation.spage 105
dc.citation.epage 115
dc.event.title 3rd Computer Science On-line Conference, CSOC 2014
dc.event.sdate 2014-04-28
dc.event.edate 2014-04-30
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag
dc.identifier.doi 10.1007/978-3-319-06740-7_10
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-06740-7_10
dc.subject Brain activity en
dc.subject Complex networks en
dc.subject Hodgkin–Huxley model en
dc.subject Neural networks en
dc.description.abstract This article represents the brief introduction into the issues of simulation of brain activity. Firstly, there is shown a physiological description of the human brain, which summarizes current knowledge and also points out its complexity. These facts were obtained through the technologies, which are intended for observing electrical activity of the brain; for example invasive methods, electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Then, there are described approaches to simulate the brain activity. First of them is a standard model, which is the basis of most current methods. Second model is based on simulation of brain rhythm changes. Finally, there is discussed possible utilization of complex networks to create a biological neural network. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004201
utb.identifier.obdid 43871935
utb.identifier.scopus 2-s2.0-84923784083
utb.identifier.wok 000370620000010
utb.source d-scopus
dc.date.accessioned 2015-05-06T06:58:24Z
dc.date.available 2015-05-06T06:58:24Z
utb.contributor.internalauthor Švejda, Jaromír
utb.contributor.internalauthor Žák, Roman
utb.contributor.internalauthor Jašek, Roman
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Jaromir Svejda, Roman Zak, Roman Jasek and Roman Senkerik J. Svejda (&) R. Zak R. Jasek R. Senkerik Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic e-mail: svejda@fai.utb.cz R. Zak e-mail: rzak@fai.utb.cz R. Jasek e-mail: jasek@fai.utb.cz R. Senkerik e-mail: senkerik@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2013/35.
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