STRDP: A simple rule of rate dependent STDP

The temporal and rate codings of information are the two sides of a coin, usually modeled separately. We propose a new learning rule called Spike Timing and Rate Dependent Plasticity (STRDP) that combines both spike-timing dependence like the classical STDP and rate coding capability similar to the rate-dependent Hebbian rule. The STRDP updates the synaptic weights only when postsynaptic spikes occur. The sign (i.e., potentiation or depression) and magnitude of plasticity depend on the time of a presynaptic spike. This learning rule admits a simple online realization, making it convenient for further hardware implementation using, e.g., memristive devices.