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...

Celý popis

Podrobná bibliografia

Vydané v:	Neurocomputing (Amsterdam) Ročník 640; s. 130313
Hlavní autori:	Khanjanianpak, Mozhgan, Valizadeh, Alireza
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!