Optimizing information capacity in modular neural networks through excitatory and inhibitory connectivity

Modularity is a key principle in complex networks like the brain, enhancing scalability, flexibility, and robustness. This study investigates how modularity affects information capacity in neural networks, focusing on the balance between excitatory and inhibitory connectivity. Using a computational...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 640; S. 130313
Hauptverfasser:	Khanjanianpak, Mozhgan, Valizadeh, Alireza
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2025
Schlagworte:	Balanced networks Biological neural networks Entropy coding Information processing Modular networks Balanced networks Entropy coding Modular networks Biological neural networks Information processing
ISSN:	0925-2312
Online-Zugang:	Volltext
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