Neural constraints in cognitive science
Minds and Machines 4 (2):129-62 (1994)
| Abstract | The paper is an examination of the ways and extent to which neuroscience places constraints on cognitive science. In Part I, I clarify the issue, as well as the notion of levels in cognitive inquiry. I then present and address, in Part II, two arguments designed to show that facts from neuroscience are at a level too low to constrain cognitive theory in any important sense. I argue, to the contrary, that there are several respects in which facts from neurophysiology will constrain cognitive theory. Part III then turns to an examination of Connectionism and Classical Cognitivism to determine which, if either, is in a better position to accomodate neural constraints in the ways suggested in Part II | |||||||||
| Keywords | Cognitive Science Connectionism Neuroscience Science | |||||||||
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William P. Bechtel (2002). Aligning Multiple Research Techniques in Cognitive Neuroscience: Why Is It Important? Philosophy of Science 69 (S3):S48-S58.
William P. Bechtel (1986). What Happens to Accounts of Mind-Brain Relations If We Forgo an Architecture of Rules and Representations? Philosophy of Science Association 1986:159 - 171.
Brian L. Keeley (2000). Neuroethology and the Philosophy of Cognitive Science. Philosophy of Science 60 (3):404-418.
Chris Eliasmith (forthcoming). Computational Neuroscience. In Paul R. Thagard (ed.), Philosophy of Psychology and Cognitive Science. Elsevier.
Antti Revonsuo (1999). Neuroscience and the Explanation of Psychological Phenomena. Behavioral and Brain Sciences 22 (5):847-849.
William Bechtel (2010). How Can Philosophy Be a True Cognitive Science Discipline? Topics in Cognitive Science 2 (3):357-366.
William P. Bechtel (1994). Levels of Description and Explanation in Cognitive Science. Minds and Machines 4 (1):1-25.
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