KLIF: An Optimized Spiking Neuron Unit for Tuning Surrogate Gradient Function

Spiking neural networks (SNNs) have garnered significant attention owing to their adeptness in processing temporal information, low power consumption, and enhanced biological plausibility. Despite these advantages, the development of efficient and high-performing learning algorithms for SNNs remains...

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Veröffentlicht in:	Neural computation 2024-11, Vol.36 (12), p.2636-2650
Hauptverfasser:	Jiang, Chunming, Zhang, Yilei
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial neural networks Back propagation networks Datasets Machine learning Neural networks Parameter identification Spiking
Online-Zugang:	Volltext
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