"... This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signaling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modeling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience."
Model Type: Realistic Network; Neuron or other electrically excitable cell; Axon; Channel/Receptor; Dendrite
Currents: I Na,t; I A; I K; I Calcium
Model Concept(s): Bursting; Simplified Models; Active Dendrites; Detailed Neuronal Models; Tutorial/Teaching; Action Potentials; Calcium dynamics; Deep brain stimulation
Simulation Environment: NEURON (web link to model)
Implementer(s): Graham, Bruce [B.Graham at cs.stir.ac.uk]; Gillies, Andrew [andrew at anc.ed.ac.uk]
References:
Sterratt DC, Graham B, Gillies A, Willshaw D. (2011). Principles of Computational Modelling in Neuroscience, Cambridge University Press.