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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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Realistic Modeling of Small Neuronal Networks

Realistic Modeling of Small Neuronal Networks

(p.285) 12 Realistic Modeling of Small Neuronal Networks
Computational Modeling Methods for Neuroscientists

Ronald L. Calabrese

Astrid A. Prinz

The MIT Press

This chapter deals with realistic modeling of small microcircuits, and addresses the related issue of uniqueness of parameters and natural variability. It also discusses the database methods that can be utilized to define the “totality” of free parameter space which supports observed network activity, and illustrates the modeling of the timing network for the leech heartbeat. The chapter develops a model of the beat timing network based on the half-center oscillator model, and shows that the leech heartbeat central pattern generator models have been implemented in different ways over the years.

Keywords:   realistic modeling, small microcircuits, network activity, beat timing network, leech heartbeat, oscillator model, central pattern generator

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