SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks

While Spiking Neural Networks (SNNs) show a lot of promise, it is difficult to optimize them because applying traditional gradient-based optimization techniques is difficult. Even though evolutionary algorithms (EAs) have been shown to promise to optimize SNNs, understanding the relationship between...

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Bibliographic Details

Published in:	2024 International Conference on Neuromorphic Systems (ICONS) pp. 327 - 330
Main Authors:	Chae, Junghoon, Lim, Seung-Hwan, Kulkarni, Shruti, Schuman, Catherine
Format:	Conference Proceeding
Language:	English
Published:	IEEE 30.07.2024
Subjects:	evolutionary algorithm Evolutionary computation Neuromorphics Optimization SNN Spiking neural networks Visual analytics
Online Access:	Get full text
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