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A new era in computational neuroscience

A new era in computational neuroscience Blackwell.qxd 25/05/2005 02:54 pm Page 163 Neuroinformatics © Copyright 2005 by Humana Press Inc. All rights of any nature whatsoever are reserved. 1539-2791/05/163–166/$30.00 DOI: 10.1385/NI:03:02:163 Commentary Kim T. Blackwell School of Computational Sciences, and the Krasnow Institute of Advanced Studies, Rockfish Creek Lane, MS 2A1 George Mason University, Fairfax,VA 22030. E-mail:avrama@gmu.edu Computational neuroscience is about to properties and distribution influence spiking enter a new era. The original focus of neuronal activity, but also to form a basis for investigat- modeling was to evaluate the influence of ionic ing network connectivity and activity (Scorcioni channels on neuronal activity, inspired by the et al., 2002). work of Hodgkin and Huxley (1952), and to The second, and more recent, increase in com- investigate the effect of electrotonic properties plexity of single neuron models is to include on synaptic integration, initiated by Rall (1969). biochemical reactions and second messenger Recently, the complexity of single neuron mod- that interact with ionic channels. The most els has been expanding in parallel with the field prevalent second messenger modeled is cal- of neuroinformatics. cium (cf., Blumenfeld et al., 1992; Holmes and The first, and still the most common, increase Levy, 1990) due to its effect on http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neuroinformatics Springer Journals

A new era in computational neuroscience

Blackwell, Kim
Neuroinformatics , Volume 3 (2) – Jun 6, 2005
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Publisher
Springer Journals
Copyright
Copyright © 2005 by Humana Press Inc
Subject
Biomedicine; Neurosciences; Computer Appl. in Life Sciences; Neurology; Biotechnology; Computational Biology/Bioinformatics
ISSN
1539-2791
eISSN
1559-0089
DOI
10.1385/NI:3:2:163
pmid
15988043
Publisher site
See Article on Publisher Site

Abstract

Blackwell.qxd 25/05/2005 02:54 pm Page 163 Neuroinformatics © Copyright 2005 by Humana Press Inc. All rights of any nature whatsoever are reserved. 1539-2791/05/163–166/$30.00 DOI: 10.1385/NI:03:02:163 Commentary Kim T. Blackwell School of Computational Sciences, and the Krasnow Institute of Advanced Studies, Rockfish Creek Lane, MS 2A1 George Mason University, Fairfax,VA 22030. E-mail:avrama@gmu.edu Computational neuroscience is about to properties and distribution influence spiking enter a new era. The original focus of neuronal activity, but also to form a basis for investigat- modeling was to evaluate the influence of ionic ing network connectivity and activity (Scorcioni channels on neuronal activity, inspired by the et al., 2002). work of Hodgkin and Huxley (1952), and to The second, and more recent, increase in com- investigate the effect of electrotonic properties plexity of single neuron models is to include on synaptic integration, initiated by Rall (1969). biochemical reactions and second messenger Recently, the complexity of single neuron mod- that interact with ionic channels. The most els has been expanding in parallel with the field prevalent second messenger modeled is cal- of neuroinformatics. cium (cf., Blumenfeld et al., 1992; Holmes and The first, and still the most common, increase Levy, 1990) due to its effect on

Journal

Neuroinformatics – Springer Journals

Published: Jun 6, 2005

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