Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density

Korcsak-Gorzo, Agnes; Tetzlaff, Tom; Morrison, Abigail; Dasbach, Stefan; van Albada, Sacha J.; Albers, Jasper; Diesmann, Markus; Kunkel, Susanne; Stapmanns, Jonas; Duarte, Renato; Senk, Johanna; Linssen, Charl

doi:10.48550/ARXIV.2212.05354

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density

Korcsak-Gorzo, A. (Corresponding author)FZJ* ; Linssen, C.FZJ* ; Albers, J.FZJ* ; Dasbach, S. (Corresponding author)FZJ* ; Duarte, R. ; Kunkel, S. ; Morrison, A.FZJ* ; Senk, J.FZJ* ; Stapmanns, J.FZJ* ; Tetzlaff, T.FZJ* ; Diesmann, M.FZJ* ; van Albada, S. J.FZJ*

2022
arXiv

arXiv (2022) [10.48550/ARXIV.2212.05354]

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Please use a persistent id in citations: http://hdl.handle.net/2128/33295 doi:10.48550/ARXIV.2212.05354

Abstract: This chapter sheds light on the synaptic organization of the brain from the perspective of computational neuroscience. It provides an introductory overview on how to account for empirical data in mathematical models, implement them in software, and perform simulations reflecting experiments. This path is demonstrated with respect to four key aspects of synaptic signaling: the connectivity of brain networks, synaptic transmission, synaptic plasticity, and the heterogeneity across synapses. Each step and aspect of the modeling and simulation workflow comes with its own challenges and pitfalls, which are highlighted and addressed in detail.

Keyword(s): Neurons and Cognition (q-bio.NC) ; Neural and Evolutionary Computing (cs.NE) ; FOS: Biological sciences ; FOS: Computer and information sciences

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Appears in the scientific report 2022

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OpenAccess

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