STDP-enabled learning on a reconfigurable neuromorphic platform

Spike-Timing Dependent Plasticity (STDP) is a well-known mechanism that implements learning in biological neural networks. We have developed a neuromorphic integrated circuit which contains 100 neurons and 30,000 synapses, 20,000 of which can follow an STDP learning rule. This work presents the initial results for circuits utilizing STDP on this chip.