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Theory and simulation in neuroscience.

Gerstner, W and Sprekeler, H and Deco, G (2012) Theory and simulation in neuroscience. Science, 338. pp. 60-65.

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Abstract

Modeling work in neuroscience can be classified using two different criteria. The first one is the complexity of the model, ranging from simplified conceptual models that are amenable to mathematical analysis to detailed models that require simulations in order to understand their properties. The second criterion is that of direction of workflow, which can be from microscopic to macroscopic scales (bottom-up) or from behavioral target functions to properties of components (top-down). We review the interaction of theory and simulation using examples of top-down and bottom-up studies and point to some current developments in the fields of computational and theoretical neuroscience.

Item Type: Article
Uncontrolled Keywords: Animals Behavior Computer Simulation Decision Making Humans Learning Memory Models, Neurological Nerve Net Neurosciences Reward
Subjects: UNSPECIFIED
Divisions: Div F > Computational and Biological Learning
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 11:25
Last Modified: 07 Apr 2014 01:16
DOI: 10.1126/science.1227356

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