IMPLEMENTING SYNAPTIC LEARNING USING REPLAY IN SPIKING NEURAL NETWORKS

摘要

Aspects of the present disclosure relate to methods and apparatus for training an artificial nervous system. According to certain aspects timing of spikes of an artificial neuron during a training iteration are recorded the spikes of the artificial neuron are replayed according to the recorded timing during a subsequent training iteration and parameters associated with the artificial neuron are updated based at least in part on the subsequent training iteration.