Synthese 153 (3):393-416 (2006)
The view that the brain is a sort of computer has functioned as a theoretical guideline both in cognitive science and, more recently, in neuroscience. But since we can view every physical system as a computer, it has been less than clear what this view amounts to. By considering in some detail a seminal study in computational neuroscience, I first suggest that neuroscientists invoke the computational outlook to explain regularities that are formulated in terms of the information content of electrical signals. I then indicate why computational theories have explanatory force with respect to these regularities:in a nutshell, they underscore correspondence relations between formal/mathematical properties of the electrical signals and formal/mathematical properties of the represented objects. I finally link my proposal to the philosophical thesis that content plays an essential role in computational taxonomy
|Keywords||POSTERIOR PARIETAL NEURONS COMPUTATION INDIVIDUALISM PSYCHOLOGY CONNECTIONISM REDUCTIONISM EXTERNALISM NETWORK SCIENCE VISION|
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References found in this work BETA
From Folk Psychology to Cognitive Science: The Case Against Belief.Stephen P. Stich - 1983 - MIT Press.
Explaining Behavior: Reasons in a World of Causes.Fred Dretske - 1988 - MIT Press.
Citations of this work BETA
Integrating Psychology and Neuroscience: Functional Analyses as Mechanism Sketches.Gualtiero Piccinini & Carl Craver - 2011 - Synthese 183 (3):283-311.
Explanation and Description in Computational Neuroscience.David Michael Kaplan - 2011 - Synthese 183 (3):339-373.
One Mechanism, Many Models: A Distributed Theory of Mechanistic Explanation.Eric Hochstein - 2016 - Synthese 193 (5):1387-1407.
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