Prescott, Tony J, Bryson, Joanna J and Seth, Anil K (2007) Modelling natural action selection: Introduction to the theme issue. Philosophical Transactions B: Biological Sciences, 362 (1485). pp. 1521-1529. ISSN 1471-2970
Full text not available from this repository.Abstract
Action selection is the task of resolving conflicts between competing behavioural alternatives. This theme issue is dedicated to advancing our understanding of the behavioural patterns and neural substrates supporting action selection in animals, including humans. The scope of problems investigated includes (i) whether biological action selection is optimal (and, if so, what is optimised), (ii) the neural substrates for action selection in the vertebrate brain, (iii) the role of perceptual selection in decision-making, and (iv) the interaction of group and individual action selection. A second aim of this issue is to advance methodological practice with respect to modelling natural action section. A wide variety of computational modelling techniques are therefore employed ranging from formal mathematical approaches through to computational neuroscience, connectionism and agent-based modelling. The research described has broad implications for both the natural and artificial sciences. One example, highlighted here, is its application to medical science where models of the neural substrates for action selection are contributing to the understanding brain disorders such as Parkinsons disease and attention deficit/hyperactivity disorder.
Item Type: | Article |
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Schools and Departments: | School of Engineering and Informatics > Informatics |
Depositing User: | Anil Seth |
Date Deposited: | 06 Feb 2012 21:11 |
Last Modified: | 17 May 2012 15:47 |
URI: | http://srodev.sussex.ac.uk/id/eprint/30112 |