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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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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2018. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 19 November 2019

Modeling Synapses

Modeling Synapses

Chapter:
(p.139) 6 Modeling Synapses
Source:
Computational Modeling Methods for Neuroscientists
Author(s):

Arnd Roth

Mark C. W. van Rossum

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262013277.003.0007

This chapter discusses the models at different levels of realism and computational efficiency for simulating synapses and their plasticity. It outlines the experimental data that offer the parameter values for the synapse models, concentrating on the dominant transmitter and receptor types mediating fast synaptic transmission in the mammalian central nervous system. The underlying mechanisms of synaptic transmission are analyzed, and simple stochastic descriptions of transmitter release, stochastic modeling of transmitter diffusion, and stochastic models of channel gating are presented. The chapter shows some quite simple formulations that offer decent models for the synaptic current.

Keywords:   synapses, plasticity, realism, synapse models, synaptic transmission, central nervous system, transmitter release, transmitter diffusion, channel gating, synaptic current

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