Computational modeling of midbrain dopamine neurons

We summarize the basic insights that mathematical and computational modeling has provided so far into how the intrinsic properties of midbrain dopamine neurons might contribute to their electrical activity in vivo, particularly with respect to the integration of their synaptic inputs. We emphasize m...

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Bibliographic Details
Published inHandbook of Behavioral Neuroscience Vol. 32; pp. 77 - 92
Main Authors Canavier, Carmen C., Knowlton, Christopher, Liss, Birgit, Khaliq, Zayd, Roeper, Jochen
Format Book Chapter
LanguageEnglish
Published Elsevier Science & Technology 2025
Subjects
Biological sciences quantitative methods
Mathematical modeling
Neurophysiology
Biological sciences quantitative methods
Mathematical modeling
Neurophysiology
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ISBN9780443298677
044329867X
ISSN1569-7339
DOI10.1016/B978-0-443-29867-7.00001-3

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Summary:We summarize the basic insights that mathematical and computational modeling has provided so far into how the intrinsic properties of midbrain dopamine neurons might contribute to their electrical activity in vivo, particularly with respect to the integration of their synaptic inputs. We emphasize modeling subpopulations with different responses to noise, depolarization, and hyperpolarization. Topics include conductance-based single-compartment models with Hodgkin-Huxley-type equivalent circuits and mass balances, bifurcation theory and fast/slow analyses, pacemaking, degeneracy, bursting, dynamic clamp, Markov models of ion channels, linking electrical and metabolic activity, synaptic integration in the balanced state in vivo, and multicompartmental models with spatially extended morphologies.
ISBN:9780443298677
044329867X
ISSN:1569-7339
DOI:10.1016/B978-0-443-29867-7.00001-3