Heteroclinic dynamics in neuronal information processing Dec. 12, 2014

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Intervenant : Martin Krupa / INRIA Rocquencourt

Homoclinic and heteroclinic dynamics are robust dynamic phenomena which can encode a large amount of information and have the flexibility to switch from one pattern to another. In a series of papers Rabinovich and co-workers have proposed a role for such dynamics in various functions of the brain, including memory formation and decision making. In this talk we review these ideas and present our recent work on the subject, which shows how a digital string of information can be encoded as a dynamical pattern of a neural network model. : Homoclinic and heteroclinic dynamics are robust dynamic phenomena which can encode a large amount of information and have the flexibility to switch from one pattern to another. In a series of papers Rabinovich and co-workers have proposed a role for such dynamics in various functions of the brain, including memory formation and decision making. In this talk we review these ideas and present our recent work on the subject, which shows how a digital string of information can be encoded as a dynamical pattern of a neural network model.


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