Method and apparatus for neural learning of natural multi-spike trains in spiking neural networks

摘要

Certain aspects of the present disclosure support a technique for neural learning of natural multi-spike trains in spiking neural networks. A synaptic weight can be adapted depending on a resource associated with the synapse, which can be depleted by weight change and can recover over time. In one aspect of the present disclosure, the weight adaptation may depend on a time since the last significant weight change.

主权项

1. A method of neural learning, comprising:
modulating an input from a pre-synaptic neuron to a post-synaptic neuron by a weight of a synapse connecting the pre-synaptic neuron and the post-synaptic neuron; and adapting the weight of the synapse based on a resource associated with the synapse, wherein a value of the resource is modified as a function of time relative to adapting the weight of the synapse, such that the value of the resource is recovered over time towards a previous value before the modification.