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2 - The modeling perspective

Published online by Cambridge University Press:  01 September 2010

Nicholas T. Carnevale
Affiliation:
Yale University, Connecticut
Michael L. Hines
Affiliation:
Yale University, Connecticut
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Summary

… can you not tell water from air? My dear sir, in this world it is not so easy to settle these plain things. I have ever found your plain things the knottiest of all.

This and the following chapter deal with concepts that are not NEURON-specific but instead pertain equally well to any tools used for neural modeling.

Why model?

In order to achieve the ultimate goal of understanding how nervous systems work, it will be necessary to know many different kinds of information:

  • The anatomy of individual neurons and classes of cells, pathways, nuclei, and higher levels of organization.

  • The pharmacology of ion channels, transmitters, modulators, and receptors.

  • The biochemistry and molecular biology of enzymes, growth factors, and genes that participate in brain development and maintenance, perception and behavior, learning and forgetting, health and disease.

But while this knowledge will be necessary for an understanding of brain function, it isn't sufficient. This is because the moment-to-moment processing of information in the brain is carried out by the spread and interaction of electrical and chemical signals that are distributed in space and time. These signals are generated and regulated by mechanisms that are kinetically complex, highly nonlinear, and arranged in intricate anatomical structures.

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The NEURON Book , pp. 32 - 35
Publisher: Cambridge University Press
Print publication year: 2006

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