Spiking Neural Networks With Time-to-First-Spike Coding Using TFT-Type Synaptic Device Model

In hardware-based spiking neural networks (SNNs), the conversion of analog input data into the arrival time of an input pulse is regarded as a good candidate for the encoding method due to its bio-plausibility and power-efficiency. In this work, we trained an SNN encoded by time to first spike (TTFS...

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Principais autores:	Seongbin Oh, Soochang Lee, Sung Yun Woo, Dongseok Kwon, Jiseong Im, Joon Hwang, Jong-Ho Bae, Byung-Gook Park, Jong-Ho Lee
格式:	Artigo
語言:	Inglês
出版:	IEEE 2021-01-01
叢編:	IEEE Access
主題:	Time-to-first-spike (TTFS) coding temporal coding flash-based synaptic device hardware-based spiking neural networks neuromorphic systems
在線閱讀:	https://ieeexplore.ieee.org/document/9439534/
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