Exploring neural oscillations during speech perception via surrogate gradient spiking neural networks

Understanding cognitive processes in the brain demands sophisticated models capable of replicating neural dynamics at large scales. We present a physiologically inspired speech recognition architecture, compatible and scalable with deep learning frameworks, and demonstrate that end-to-end gradient d...

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Bibliographic Details

Published in:	Frontiers in Neuroscience
Main Authors:	Alexandre Bittar, Philip N. Garner
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-09-01
Subjects:	neural oscillations spiking neural networks speech recognition brain-inspired computing deep learning surrogate gradient
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1449181/full