Effect of sparsity on network stability in random neural networks obeying Dale's law

This paper examines the relationship between sparse random network architectures and neural network stability by examining the eigenvalue spectral distribution. Specifically, we generalize classical eigenspectral results to sparse (not fully connected) connectivity matrices obeying Dale's law:...

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Bibliographic Details
Main Authors: Isabelle D. Harris, Hamish Meffin, Anthony N. Burkitt, Andre D. H. Peterson
Format: Article
Language:English
Published: American Physical Society 2023-11-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.5.043132