Computational explanation in neuroscience
Synthese 153 (3):343-353 (2006)
| Abstract |
According to some philosophers, computational explanation is proprietary to psychology—it does not belong in neuroscience. But neuroscientists routinely offer computational explanations of cognitive phenomena. In fact, computational explanation was initially imported from computability theory into the science of mind by neuroscientists, who justified this move on neurophysiological grounds. Establishing the legitimacy and importance of computational explanation in neuroscience is one thing; shedding light on it is another. I raise some philosophical questions pertaining to computational explanation and outline some promising answers that are being developed by a number of authors. |
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| Keywords | Computational Explanation Mechanistic Explanation Computational Neuroscience Cognitive Neuroscience Theoretical Neuroscience Computationalism Pancomputationalism Computational Theory of Mind Representation Introspection | |||||||||
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Roman Borisyuk (2000). Encyclopedia of Computational Neuroscience: The End of the Second Millennium. Behavioral and Brain Sciences 23 (4):534-535.
Enrique Frias-Martinez & Fernand Gobet (forthcoming). Automatic Generation of Cognitive Theories Using Genetic Programming. Minds and Machines.
Gualtiero Piccinini (2008). Computation Without Representation. Philosophical Studies 137 (2):205-241.
Gualtiero Piccinini (2007). Computational Modeling Vs. Computational Explanation: Is Everything a Turing Machine, and Does It Matter to the Philosophy of Mind? Australasian Journal of Philosophy 85 (1):93 – 115.
Gualtiero Piccinini (2007). Computational Explanation and Mechanistic Explanation of Mind. In Francesco Ferretti, Massimo Marraffa & Mario De Caro (eds.), Cartographies of the Mind: The Interface Between Philosophy and Cognitive Science. Springer.
Chris Eliasmith (forthcoming). Computational Neuroscience. In Paul R. Thagard (ed.), Philosophy of Psychology and Cognitive Science. Elsevier.
Rick Grush (2001). The Semantic Challenge to Computational Neuroscience. In Peter K. Machamer, Peter McLaughlin & Rick Grush (eds.), Theory and Method in the Neurosciences. University of Pittsburgh Press.
David Michael Kaplan (2011). Explanation and Description in Computational Neuroscience. Synthese 183 (3):339-373.
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