Neuroevolution Guided Hybrid Spiking Neural Network Training

Neuroevolution Guided Hybrid Spiking Neural Network Training

Neuromorphic computing algorithms based on Spiking Neural Networks (SNNs) are evolving to be a disruptive technology driving machine learning research. The overarching goal of this work is to develop a structured algorithmic framework for SNN training that optimizes unique SNN-specific properties li...

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Bibliographic Details
Main Authors: Sen Lu, Abhronil Sengupta
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Neuroscience
Subjects:
Spiking Neural Networks
neuroevolution
adversarial attack
neuromorphic computing
hybrid training
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.838523/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.838523/full

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