A New Formula of Synaptic Plasticity Based on STDP and Its Implications

Information coding and representation in a neural system are determined by spatio-temporal interaction of synapses. Spike-timing dependent plasticity (STDP) shows that synaptic efficacy and information transfer are highly dependent on the relative timing (aboutplusmn50 ms) of the pre- and postsynaptic spikes and their interactional patterns. In this article, we suggest a new formula of synaptic plasticity based on STDP. We select H-R and DIF as preand postsynaptic neuron model respectively and simulate three fundamental interactional patterns. Then, we consider plastic similarity between the level of behavior and neurons due to the aggregation of repetitive stimulations. Finally, we explore some implications of STDP on the stability of neural network