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Computational Modeling Methods for Neuroscientists$
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Erik De Schutter

Print publication date: 2009

Print ISBN-13: 9780262013277

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262013277.001.0001

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Reaction-Diffusion Modeling

Reaction-Diffusion Modeling

Chapter:
(p.61) 3 Reaction-Diffusion Modeling
Source:
Computational Modeling Methods for Neuroscientists
Author(s):

Upinder S. Bhalla

Stefan Wils

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262013277.003.0004

This chapter explores the techniques for neuronal computation using increasingly refined numerical techniques. It uses an extremely small subset of synaptic signaling event, and considers the signaling circuit at a block diagram, reaction mechanisms, parameters, and solving the model. Some of the signaling-specific issues with parameterization are explained. The chapter examines the ways to fit a biochemical model into the larger context of a neuronal or network model, analyzes how to solve the biochemical model, and then introduces the chemical circuits composed of interacting molecules. It shows that the computations inside a cell provide as much richness, diversity, and challenges as those outside it.

Keywords:   neuronal computation, synaptic signaling, biochemical model, network model, chemical circuits, cell, signaling circuit

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