Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity

摘要

Based on neurophysioloical observations on the behavior of synapsesl, spike time dependent Hebbian plasticity is a novel extension to the modeling of the Hebb rule. This rule has Enormous importance in the learning of spiking neural networks (SNN) but its mechanisms and Computational properties are still to be explored. In this article, we present a generative model for spike time dependent plasticity based on A simplified model of the synaptic kinetic. We then explore the fitting of this model to Experimental data and review some of its dynamical properties. Finally, we extend this model to A simplified model or integrate-and-fire (IF) neurons network using rank order coding.