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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Bibliographic Details
Main Authors: Seongbin Oh, Soochang Lee, Sung Yun Woo, Dongseok Kwon, Jiseong Im, Joon Hwang, Jong-Ho Bae, Byung-Gook Park, Jong-Ho Lee
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9439534/