Method and apparatus for modeling neural resource based synaptic placticity

摘要

Certain aspects of the present disclosure support a method of designing the resource model in hardware (or software) for learning spiking neural networks. The present disclosure comprises accounting for resources in a different domain (e.g., negative log lack-of-resources instead of availability of resources), modulating weight changes for multiple spike events upon a single trigger, and strategically advancing or retarding the resource replenishment or decay (respectively) to overcome the limitation of single event-based triggering.

主权项

1. A method of learning in a spiking neural network, comprising:
modeling resources associated with synapses of the spiking neural network using a defined domain; modulating changes of a weight associated with one of the synapses for multiple spike events upon a single trigger related to that synapse; and updating, in the defined domain, one of the resources associated with that synapse based on the multiple spike events upon the single trigger.