Handbook of Behavioral Neuroscience
Document Type
Book Chapter
Publication Date
7-31-2025
Abstract
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.
First Page
77
Last Page
92
Volume
32
Chapter Title
Chapter 7 - Computational modeling of midbrain dopamine neurons
Publisher
Academic Press
Recommended Citation
Canavier, Carmen C.; Knowlton, Christopher; Liss, Birgit; Khaliq, Zayd; and Roeper, Jochen, "Handbook of Behavioral Neuroscience" (2025). School of Medicine Faculty Publications. 3953.
https://digitalscholar.lsuhsc.edu/som_facpubs/3953
10.1016/B978-0-443-29867-7.00001-3