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Distributed Coding and Synaptic Pruning

E. Coyac, V. Gripon, C. Langlais and C. Berrou, "Distributed Coding and Synaptic Pruning," in Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, pp. 206--210, September 2016.

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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Bibtex
@inproceedings{CoyGriLanBer20169,
  author = {Eliott Coyac and Vincent Gripon and
Charlotte Langlais and Claude Berrou},
  title = {Distributed Coding and Synaptic Pruning},
  booktitle = {Proceedings of the 9th International
Symposium on Turbo Codes and Iterative Information
Processing},
  year = {2016},
  pages = {206--210},
  month = {September},
}




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