METHOD FOR NON-SUPERVISED LEARNING IN AN ARTIFICIAL NEURAL NETWORK BASED ON MEMRISTIVE NANODEVICES, AND ARTIFICIAL NEURAL NETWORK IMPLEMENTING SAID METHOD

摘要

An unsupervised learning method is provided implemented in an artificial neural network based on memristive devices. It consists notably in producing an increase in the conductance of a synapse when there is temporal overlap between a pre-synaptic pulse and a post-synaptic pulse and in decreasing its conductance on receipt of a post-synaptic pulse when there is no temporal overlap with a pre-synaptic pulse.