Topology-aware design of spiking neural networks via modular graph architectures.

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Bibliographic Details
Title: Topology-aware design of spiking neural networks via modular graph architectures.
Authors: Motaghian F; Physics Department, Shahid Beheshti University, Tehran, Iran.; Escuela Politecnica Superior, Universidad de Sevilla, Sevilla, Spain., Nazari S; Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran., Dominguez-Morales JP; Robotics and Technology of Computers Lab., ETSII-EPS, SCORE Lab, Universidad de Sevilla, Sevilla, Spain., Jafari R; Physics Department, Shahid Beheshti University, Tehran, Iran.; Chandigarh Group of Colleges Jhanjeri, Sahibzada Ajit Singh Nagar, Panjab, India.
Source: PloS one [PLoS One] 2026 Apr 10; Vol. 21 (4), pp. e0344997. Date of Electronic Publication: 2026 Apr 10 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0344997