Toward a Lossless Conversion for Spiking Neural Networks with Negative‐Spike Dynamics

Toward a Lossless Conversion for Spiking Neural Networks with Negative‐Spike Dynamics

Spiking neural networks (SNNs) become popular choices for processing spatiotemporal input data and enabling low‐power event‐driven spike computation on neuromorphic processors. However, direct SNN training algorithms are not well compatible with error back‐propagation process, while indirect convers...

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Bibliographic Details
Main Authors: Chenglong Zou, Xiaoxin Cui, Guang Chen, Yuanyuan Jiang, Yuan Wang
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Advanced Intelligent Systems
Subjects:
artificial neural network
network conversion
network quantization
spike compensation
spiking neural network
Online Access:https://doi.org/10.1002/aisy.202300383

Internet

https://doi.org/10.1002/aisy.202300383

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