PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Temporal dynamics of information content carried by neurons in the primary visual cortex.
Danko Nikolic, Stefan Häusler, Wolf Singer and Wolfgang Maass
In: NIPS 2006, 04 - 07 Dec 2006, Vancouver, Canada.

Abstract

We use multi-electrode recordings from cat primary visual cortex and investigate whether a simple linear classifier can extract information about the presented stimuli. We find that information is extractable and that it even lasts for several hundred milliseconds after the stimulus has been removed. In a fast sequence of stimulus presentation, information about both new and old stimuli is present simultaneously and nonlinear relations between these stimuli can be extracted. These results suggest highly nonlinear properties of cortical representations. The implications of these properties for the nonlinear brain theory are discussed.

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:2594
Deposited By:Wolfgang Maass
Deposited On:22 November 2006