We develop a minimal time-continuous model for use-dependent synaptic short-term
plasticity that can account for both short-term depression and short-term facilitation. It is …

We present two weight-and spike-time dependent synaptic plasticity rules consistent with the
physiological data of Bi and Poo (J Neurosci 18: 10464–10472, 1998). One rule assumes …

Spike-timing dependent plasticity (STDP) is a type of synaptic modification found relatively
recently, but the underlying biophysical mechanisms are still unclear. Several models of …

Incorporating the spike-timing-dependent synaptic plasticity (STDP) into a learning rule, we
study spatiotemporal learning in analog neural networks. First, we study learning of a finite …

Hebb's original postulate left two important issues unaddressed:(i) what is the effective time
window between pre-and postsynaptic activity that will result in potentiation? and (ii) what is …

Spike-timing-dependent plasticity (STDP) determines the evolution of the synaptic weights
according to their pre-and post-synaptic activity, which in turn changes the neuronal activity …

Activity-dependent synaptic plasticity is believed to underlie functional reconfiguration of
neuronal circuits, which in turn serves as the biological substrate of higher brain functions …

A phenomenological model of synaptic plasticity is able to account for a large body of
experimental data on spike-timing-dependent plasticity (STDP). The basic ingredient of the …

We fit a weight-dependent STDP rule to the classic data of Bi and Poo (1998), showing that
this rule leads to slow learning in a simulation with an integrate-and-fire neuron. The …

Recent findings of spike timing-dependent plasticity (STDP) have stimulated much interest
among experimentalists and theorists. Beyond the traditional correlation-based Hebbian …