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000916425 0247_ $$2doi$$a10.48550/ARXIV.2212.05354
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000916425 1001_ $$0P:(DE-Juel1)176282$$aKorcsak-Gorzo, Agnes$$b0$$eCorresponding author
000916425 245__ $$aPhenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density
000916425 260__ $$barXiv$$c2022
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000916425 520__ $$aThis 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.
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000916425 650_7 $$2Other$$aNeurons and Cognition (q-bio.NC)
000916425 650_7 $$2Other$$aNeural and Evolutionary Computing (cs.NE)
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000916425 7001_ $$0P:(DE-Juel1)176305$$aLinssen, Charl$$b1
000916425 7001_ $$0P:(DE-Juel1)180539$$aAlbers, Jasper$$b2
000916425 7001_ $$0P:(DE-Juel1)176921$$aDasbach, Stefan$$b3$$eCorresponding author
000916425 7001_ $$0P:(DE-Juel1)165640$$aDuarte, Renato$$b4
000916425 7001_ $$0P:(DE-HGF)0$$aKunkel, Susanne$$b5
000916425 7001_ $$0P:(DE-Juel1)151166$$aMorrison, Abigail$$b6
000916425 7001_ $$0P:(DE-Juel1)162130$$aSenk, Johanna$$b7
000916425 7001_ $$0P:(DE-Juel1)171475$$aStapmanns, Jonas$$b8
000916425 7001_ $$0P:(DE-Juel1)145211$$aTetzlaff, Tom$$b9
000916425 7001_ $$0P:(DE-Juel1)144174$$aDiesmann, Markus$$b10
000916425 7001_ $$0P:(DE-Juel1)138512$$avan Albada, Sacha J.$$b11
000916425 773__ $$a10.48550/ARXIV.2212.05354$$tarXiv$$y2022
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