Original paper
A digital hardware implementation of spiking neural networks with binary FORCE training
Abstract
The brain, a network of spiking neurons, can learn complex dynamics by adapting its spontaneous chaotic activity. One of the dominant approaches used to train such a network, the FORCE method, has recently been applied to spiking neural networks. This method employs a pool of randomly connected spiking neurons, called a reservoir, to create chaos and uses the recursive least square (RLS) method to change its dynamic to what is required to follow...
Paper Details
Title
A digital hardware implementation of spiking neural networks with binary FORCE training
Published Date
Oct 1, 2020
Journal
Volume
412
Pages
129 - 142
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