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Conference Papers Year : 2016

Distributed coding and synaptic pruning

Abstract

This paper deals with the modelization of synaptic pruning in the developing brain, at the informational level. Relying on the hypotheses of clique-based memory and Hebbian learning, we consider several scenarios to try to understand how reliable point-to-point communication may be achieved in the cortex whereas at birth, neurons are connected to a multitude of other neurons, similar to a connection of broadcast type. It is shown that quasi-perfect transfer of information can be obtained in a plausible way using simple rules if a mechanism of synaptic normalization is implemented at the receiver side.
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Dates and versions

hal-01374130 , version 1 (29-09-2016)

Identifiers

  • HAL Id : hal-01374130 , version 1

Cite

Eliott Coyac, Vincent Gripon, Charlotte Langlais, Claude Berrou. Distributed coding and synaptic pruning. ISTC 2016 : 9th International symposium on Turbo Codes and Iterative Information Processing, Sep 2016, Brest, France. pp.206 - 210. ⟨hal-01374130⟩
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