Learning spatio-temporal stimuli with networks of spiking neurons and dynamic synapses

摘要

A network of spiking neurons and dynamic synapses is introduced to yield a mechanism for learning spatio-temporal stimulus patterns. Integrate-and-fire postsynaptic neurons receive input spike trains from multiple dynamic synapses. The synaptic dynamics is based on exact pre- and postosynaptic spike timing and exhibits short-term facilitation and depression. In addition, dependent on their adaptable long-term configuration (learning) the sysapses auto- matically implement specific delays in their peak response. Each postsynaptic neuron with its set of incoming synapses gets tuned to a specific spatio-temporal pattern. The whole network is capable of discriminating between stimuli with one output per learned stimulus type.