Unsupervised Learning in a Ternary SNN Using STDP

Unsupervised Learning in a Ternary SNN Using STDP

This paper proposes a novel implementation of a ternary Spiking Neural Network (SNN) and investigates it using a hierarchical simulation framework. The proposed ternary SNN is trained in an unsupervised manner using the Spike Timing Dependent Plasticity (STDP) learning rule. A ternary neuron is impl...

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Bibliographic Details
Main Authors: Abhinav Gupta, Sneh Saurabh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of the Electron Devices Society
Subjects:
Ternary neuron
STDP
ternary SNN
neuromorphic computing
BTBT
Online Access:https://ieeexplore.ieee.org/document/10437991/

Internet

https://ieeexplore.ieee.org/document/10437991/

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