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...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9439534/ |