Physiologically inspired modeling of cortical dynamics through spiking neural networks

. The proposed framework constitutes a promising tool for functionally characterizing the underlying cortical dynamics under pathophysiological conditions.

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Publication Details

Journal
Journal of Neural Engineering
Published
2026-04-01
DOI
https://doi.org/10.1088/1741-2552/ae5b27
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
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article

Physiologically inspired modeling of cortical dynamics through spiking neural networks

Vincenzo Catrambone, Gaetano Valenza, Dario Milea
Journal of Neural Engineering
Functional Brain Connectivity Studies
article

Physiologically inspired modeling of cortical dynamics through spiking neural networks

Vincenzo Catrambone, Gaetano Valenza, Dario Milea
article en

Abstract

. The proposed framework constitutes a promising tool for functionally characterizing the underlying cortical dynamics under pathophysiological conditions.

Journal of Neural EngineeringVol. 23(2)
University of Pisa (IT), Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" (IT), Piaggio (Italy) (IT)
Openalex Percentile: Top 30%
Functional Brain Connectivity Studies
DOISourceOpenAlex
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