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The potential effectiveness of simulations versus phenomenological models

Nature Neuroscience volume 3, pages 649651 (2000) | Download Citation



Computational models can potentially be a very effective way to understand how the brain processes information. However, their power depends on the location of artificial features and errors of omission within the simulation, and on whether it is possible for the model to fail.

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  1. 1.

    , A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. (Lond.) 117, 500–544 (1952).

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I thank Garrett Kenyon and Javier Medina for comments. Supported by NIMH 46904 and 57051.

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  1. Michael Mauk is at the Department of Neurobiology and Anatomy, Iniversity of Texas Medical School, Houston, Texas 77030, USA

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