Synchronized stepwise control of firing and learning thresholds in a spiking randomly connected neural network toward hardware implementation

Spiking randomly connected neural network (RNN) hardware is promising as ultimately low power devices for temporal data processing at the edge. Although the potential of RNNs for temporal data processing has been demonstrated, randomness of the network architecture often causes performance degradati...

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Bibliographic Details
Main Authors: Kumiko Nomura, Yoshifumi Nishi
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1402646/full
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