Distributed Coding And Synaptic Pruning
2016 9TH INTERNATIONAL SYMPOSIUM ON TURBO CODES AND ITERATIVE INFORMATION PROCESSING (ISTC)(2016)
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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