Spike-based Learning Rules and Stabilization of Persistent Neural Activity

We analyze the conditions under which synaptic learning rules based by learning rules basedon action potential timing can be approximated of plasticity in whichon firing rates. In particular, we consider a form synapses depress when a presynaptic spike is followed by a postsynaptic differentialspike, and potentiate with the opposite temporal ordering.