TY  - EJOUR
AU  - Korcsak-Gorzo, Agnes
AU  - Linssen, Charl
AU  - Albers, Jasper
AU  - Dasbach, Stefan
AU  - Duarte, Renato
AU  - Kunkel, Susanne
AU  - Morrison, Abigail
AU  - Senk, Johanna
AU  - Stapmanns, Jonas
AU  - Tetzlaff, Tom
AU  - Diesmann, Markus
AU  - van Albada, Sacha J.
TI  - Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density
JO  - arXiv
PB  - arXiv
M1  - FZJ-2022-06225
PY  - 2022
AB  - 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.
KW  - Neurons and Cognition (q-bio.NC) (Other)
KW  - Neural and Evolutionary Computing (cs.NE) (Other)
KW  - FOS: Biological sciences (Other)
KW  - FOS: Computer and information sciences (Other)
LB  - PUB:(DE-HGF)25
DO  - DOI:10.48550/ARXIV.2212.05354
UR  - https://juser.fz-juelich.de/record/916425
ER  -