Probabilistic Encoding and Decoding of Neural Activity in Rat Primary Visual Cortex

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DC ElementWertSprache
dc.creatorBringmann, Holger Carl
dc.date.accessioned2010-01-30T16:38:32Z
dc.date.available2010-01-30T16:38:32Z
dc.date.issued2009-09-03T15:08:53Z
dc.date.submitted2009-09-03T15:08:53Z
dc.identifier.citationUniversity of Osnabrück, Germany (2002): 40
dc.identifier.urihttps://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201001304735-
dc.description.abstractAbstract: According to the information processing paradigm in the Cognitive Sciences, one of the nervous system´s most important functions is to encode information about the environment. Understanding the neural code means understanding the relationship between brain states and real events in the outer world. In this work, a probabilistic Framework for encoding (i.e., mapping events to neural response) and decoding (i.e., reconstruction of events from neural responses) of neural activity is presented and applied to theoretical and empirical data. Reconstruction is based on a Bayesian filter method, allowing the propagation of multi modal densities and the use of non-linear stimulus dynamics.
dc.subjectNeural Code
dc.subjectNeural Coding
dc.subjectNeural Decoding
dc.subjectRat Primary Visual Cortex
dc.subjectBayes
dc.subjectBayesian Filter
dc.subjectIntegrate-and-Fire-Neurons
dc.subjectrandom walk
dc.subjectstimulus reconstruction
dc.subject.ddc590 - Tiere (Zoologie)
dc.titleProbabilistic Encoding and Decoding of Neural Activity in Rat Primary Visual Cortexeng
dc.typeAbschlussarbeit(Bachelor) [bachelorThesis]-
thesis.locationOsnabrück-
thesis.institutionUniversität-
thesis.typeBachelorarbeit [bachelor]-
thesis.date2002-
elib.elibid208-
elib.marc.edterich-
elib.dct.created2009-09-03T11:35:31Z-
elib.dct.modified2009-09-03T15:08:53Z-
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