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Distributed coding and synaptic pruning

机译:分布式编码和突触修剪

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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.
机译:本文在信息水平上处理正在发育的大脑中的突触修剪的建模。依靠基于群体的记忆和希伯来语学习的假设,我们考虑了几种情况以试图了解如何在皮质中实现可靠的点对点交流,而在出生时,神经元与众多其他神经元相连,类似到广播类型的连接。结果表明,如果在接收器端实施了突触标准化的机制,则可以使用简单的规则以合理的方式获得信息的准完美传输。

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