Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials

Werner M. Kistler, J. Leo van Hemmen
2000 Neural Computation  
We present a spiking neuron model that allows for an analytic calculation of the correlations between pre-and postsynaptic spikes. The neuron model is a generalization of the integrate-and-re model and equipped with a probabilistic spike-triggering mechanism. We show that under certain biologically plausible conditions, pre-and postsynaptic spike trains can be described simultaneously as an inhomogeneou s Poisson process. Inspired by experimental ndings, we develop a model for synaptic
more » ... r synaptic long-term plasticity that relies on the relative timing of pre-and postsynaptic action potentials. Being given an input statistics, we compute the stationary synaptic weights that result from the temporal correlations between the pre-and postsynaptic spikes. By means of both analytic calculations and computer simulations, we show that such a mechanism of synaptic plasticity is able to strengthen those input synapses that convey precisely timed spikes at the expense of synapses that deliver spikes with a broad temporal distribution. This may be of vital importance for any kind of information processing based on spiking neurons and temporal coding.
doi:10.1162/089976600300015844 pmid:10636948 fatcat:vvprpthzj5azjajhvp5ah6ntey