Theory and simulation in neuroscience.
- Gerstner W School of Computer and Communication Sciences and Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland. wulfram.gerstner@epfl.ch
- Sprekeler H
- Deco G
- 2012-10-09
Published in:
- Science (New York, N.Y.). - 2012
Animals
Behavior
Computer Simulation
Decision Making
Humans
Learning
Memory
Models, Neurological
Nerve Net
Neurosciences
Reward
English
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.
- Language
-
- English
- Open access status
- green
- Identifiers
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- DOI 10.1126/science.1227356
- PMID 23042882
- Persistent URL
- https://folia.unifr.ch/global/documents/16056
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