Brain-Inspired Architecture for Spiking Neural Networks

Brain-Inspired Architecture for Spiking Neural Networks

Spiking neural networks (SNNs), using action potentials (spikes) to represent and transmit information, are more biologically plausible than traditional artificial neural networks. However, most of the existing SNNs require a separate preprocessing step to convert the real-valued input into spikes t...

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Bibliographic Details
Main Authors: Fengzhen Tang, Junhuai Zhang, Chi Zhang, Lianqing Liu
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Biomimetics
Subjects:
spiking neural networks
self-adaptive coding
surrogate gradient backpropagation
leaky integrate-and-fire neuron model
Online Access:https://www.mdpi.com/2313-7673/9/10/646
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