Sharing leaky-integrate-and-fire neurons for memory-efficient spiking neural networks

Spiking Neural Networks (SNNs) have gained increasing attention as energy-efficient neural networks owing to their binary and asynchronous computation. However, their non-linear activation, that is Leaky-Integrate-and-Fire (LIF) neuron, requires additional memory to store a membrane voltage to captu...

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Autors principals:	Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2023-07-01
Col·lecció:	Frontiers in Neuroscience
Matèries:	spiking neural network image recognition event-based processing energy-efficient deep learning neuromorphic computing
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1230002/full
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