Gerstner, W and Sprekeler, H and Deco, G (2012) Theory and simulation in neuroscience. Science, 338. pp. 60-65.Full text not available from this repository.
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.
|Uncontrolled Keywords:||Animals Behavior Computer Simulation Decision Making Humans Learning Memory Models, Neurological Nerve Net Neurosciences Reward|
|Divisions:||Div F > Computational and Biological Learning|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 17:13|
|Last Modified:||29 Mar 2017 03:54|