Distributed Coding And Synaptic Pruning

2016 9TH INTERNATIONAL SYMPOSIUM ON TURBO CODES AND ITERATIVE INFORMATION PROCESSING (ISTC)(2016)

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摘要
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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关键词
distributed coding,synaptic pruning modelization,clique-based memory,Hebbian learning,point-to-point communication reliable,broadcast type connection,information quasiperfect transfer,receiver side
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