Deterministic, stochastic, and mean-field PDE models in neuroscience

Large neuronal networks demonstrate complex dynamics across multiple scales, ranging from single-neuron excitability and spike-train variability to mesoscopic rhythms and whole-brain activity. Different types of differential equation models have been developed to comprehend these phenomena, connecti...

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Hlavní autoři:	Coşkun Çetin, Jose Roberto Castilho Piqueira, Burhaneddin İzgi, Ayse Peker-Dobie, Semra Ahmetolan, Murat Özkaya
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2026-04-01
Edice:	Frontiers in Computational Neuroscience
Témata:	differential equation models stochastic differential equations computational neuroscience stochastic neural dynamics mean-field partial differential equations Fokker-Planck equations
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fncom.2026.1762692/full
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