David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
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|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Gualtiero Piccinini & Carl Craver (2011). Integrating Psychology and Neuroscience: Functional Analyses as Mechanism Sketches. [REVIEW] Synthese 183 (3):283-311.
Gualtiero Piccinini (2009). Computationalism in the Philosophy of Mind. Philosophy Compass 4 (3):515-532.
Gualtiero Piccinini (2008). Computers. Pacific Philosophical Quarterly 89 (1):32–73.
David Michael Kaplan (2011). Explanation and Description in Computational Neuroscience. Synthese 183 (3):339-373.
Matteo Colombo (2010). How Authentic Intentionality Can Be Enabled: A Neurocomputational Hypothesis. [REVIEW] Minds and Machines 20 (2):183-202.
Similar books and articles
Keith Butler (1998). Content, Computation, and Individuation. Synthese 114 (2):277-92.
Mark Sprevak (2010). Computation, Individuation, and the Received View on Representation. Studies in History and Philosophy of Science Part A 41 (3):260-270.
Michael Rescorla (2013). Against Structuralist Theories of Computational Implementation. British Journal for the Philosophy of Science 64 (4):681-707.
Gualtiero Piccinini (2008). Computation Without Representation. Philosophical Studies 137 (2):205-241.
Paul R. Thagard (2002). How Molecules Matter to Mental Computation. Philosophy of Science 69 (3):497-518.
Eric Dietrich (1989). Semantics and the Computational Paradigm in Computational Psychology. Synthese 79 (April):119-41.
Michael Losonsky (1995). Emdedded Systems Vs. Individualism. Minds and Machines 5 (3):357-71.
Lawrence A. Shapiro (1997). A Clearer Vision. Philosophy of Science 64 (1):131-53.
Oron Shagrir (2001). Content, Computation and Externalism. Mind 110 (438):369-400.
Amir Horowitz (2007). Computation, External Factors, and Cognitive Explanations. Philosophical Psychology 20 (1):65-80.
Added to index2009-01-28
Total downloads53 ( #30,779 of 1,102,738 )
Recent downloads (6 months)9 ( #24,543 of 1,102,738 )
How can I increase my downloads?