MULTI-VARIABLES PROCESSING NEURONS AND UNSUPERVISED MULTI-TIMESCALE LEARNING FOR SPIKING NEURAL NETWORKS

The present disclosure relates to a method of generating spikes by a neuron of a spiking neural network. The method comprises generating at each time, wherein the spike generation encodes at each time instant at least two variable values at the neuron. Synaptic weights may be optimized for a spike train generated by a given presynaptic neuron of a spiking neural network, wherein the spike train being indicative of features of at least one timescale.