Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training

Abstract Spiking neural networks drawing inspiration from biological constraints of the brain promise an energy-efficient paradigm for artificial intelligence. However, challenges exist in identifying guiding principles to train these networks in a robust fashion. In addition, training becomes an ev...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Joseph A. Kilgore, Jeffrey D. Kopsick, Giorgio A. Ascoli, Gina C. Adam
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-07-01
Subjects:	Spiking neural networks Bio-inspired computing Machine learning
Online Access:	https://doi.org/10.1038/s41598-025-03408-7