Neuron Circuits for Low-Power Spiking Neural Networks Using Time-To-First-Spike Encoding

Hardware-based Spiking Neural Networks (SNNs) are regarded as promising candidates for the cognitive computing system due to its low power consumption and highly parallel operation. In this paper, we train the SNN in which the firing time carries information using temporal backpropagation. The tempo...

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Bibliografische Detailangaben

Hauptverfasser:	Seongbin Oh, Dongseok Kwon, Gyuho Yeom, Won-Mook Kang, Soochang Lee, Sung Yun Woo, Jaehyeon Kim, Jong-Ho Lee
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2022-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Neuromorphic spiking neural networks (SNNs) hardware-based neural networks time-to-first-spike (TTFS) coding temporal coding neuron circuits
Online-Zugang:	https://ieeexplore.ieee.org/document/9706185/
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