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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

(p.61) 3 Reaction-Diffusion Modeling
Computational Modeling Methods for Neuroscientists

Upinder S. Bhalla

Stefan Wils

The MIT Press

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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