Spatiotemporal Coding in the Cortex: information Flow-Based Learning I Spiking Neural Networks

摘要

We introduce a learning paradigm for networks of integrate-and-fire spik- ing neurons that is based on an information-theoretic criterion. This cri- terion can be viewed as a first principle that demonstrates the experimen- tally observed fact that cortical neurons display synchronous firing for some stimuli and not for others. The principle can be regarded as the pos- tulation of a nonparametric reconstruction method as optimization cri- teria for learning the required functional connectivity that justifies and explains synchronous firing of finding of features as a mechanism for spatiotemporal coding. This can be expressed in an information-theoretic way by maximizing the discrimination ability between different sensory inputs in minimal time.