Minds and Machines 17 (3):287-309 (2007)
Abstract |
Cognitive neuroscience is the branch of neuroscience that studies the neural mechanisms underpinning cognition and develops theories explaining them. Within cognitive neuroscience, computational neuroscience focuses on modeling behavior, using theories expressed as computer programs. Up to now, computational theories have been formulated by neuroscientists. In this paper, we present a new approach to theory development in neuroscience: the automatic generation and testing of cognitive theories using genetic programming (GP). Our approach evolves from experimental data cognitive theories that explain “the mental program” that subjects use to solve a specific task. As an example, we have focused on a typical neuroscience experiment, the delayed-match-to-sample (DMTS) task. The main goal of our approach is to develop a tool that neuroscientists can use to develop better cognitive theories
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Keywords | Cognitive neuroscience Computational neuroscience Automatic generation of cognitive theories Genetic programming Delayed-match-to-sample |
Categories | (categorize this paper) |
DOI | 10.1007/s11023-007-9070-6 |
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References found in this work BETA
The Magical Number 4 in Short-Term Memory: A Reconsideration of Mental Storage Capacity.Nelson Cowan - 2001 - Behavioral and Brain Sciences 24 (1):87-114.
Review of The Computational Brain by Patricia S. Churchland and Terrence J. Sejnowski. [REVIEW]Brian P. McLaughlin - 1996 - Philosophy of Science 63 (1):137-139.
An Integrated Theory of the Mind.John R. Anderson, Daniel Bothell, Michael D. Byrne, Scott Douglass, Christian Lebiere & Yulin Qin - 2004 - Psychological Review 111 (4):1036-1060.
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems.Peter Dayan & L. Abbott - 2001 - Philosophical Psychology 15 (4):563-577.
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Citations of this work BETA
William R. Uttal: Mind and Brain: A Critical Appraisal of Cognitive Neuroscience: MIT Press, Cambridge, MA, 2011, Xxviii+497, $49.50, ISBN 978-0-262-01596-7. [REVIEW]Fernand Gobet - 2014 - Minds and Machines 24 (2):221-226.
Evolving Process-Based Models From Psychological Data Using Genetic Programming.Peter C. R. Lane, Peter D. Sozou, Mark Addison & Fernand Gobet - unknown
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