Non-linear dynamical system theory and primary visual cortical processing

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Abstract

The vertebrate brain consists of a large number of neurons, each with highly complex non-linear dynamics. These neurons communicate with each other with a complex nexus of connecting nerve axons. The current work examines the dynamical properties of neurons located in cat primary visual cortex from the perspective of non-linear dynamical theory. The temporal patterns of activation of such neurons achieved with periodic stimuli suggest that the dynamics are relatively simple and may be modeled using a small set of coupled non-linear equations. Predictions are made based as to the patterns of activation to be found in populations of neurons.

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    Current address: Thomas J. Watson Research Center, IBM P.O. Box 218, Yorktown Heights, NY 10598, USA

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