Encyclopedia of computational neuroscience: The end of the second millennium
Behavioral and Brain Sciences 23 (4):534-535 (2000)
| Abstract | Arbib et al. describe mathematical and computational models in neuroscience as well as neuroanatomy and neurophysiology of several important brain structures. This is a useful guide to mathematical and computational modelling of the structure and function of nervous system. The book highlights the need to develop a theory of brain functioning, and it offers some useful approaches and concepts. | |||||||||
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John Bickle, Pete Mandik & Anthony Landreth, The Philosophy of Neuroscience. Stanford Encyclopedia of Philosophy.
Enrique Frias-Martinez & Fernand Gobet (forthcoming). Automatic Generation of Cognitive Theories Using Genetic Programming. Minds and Machines.
K. Nicholas Leibovic (1997). Patricia S. Churchland and Terrence J. Sejnowski, the Computational Brain, Computational Neuroscience Series, Cambridge, MA: MIT Press, 1992. Minds and Machines 7 (4):581-585.
Gualtiero Piccinini (2004). The First Computational Theory of Mind and Brain: A Close Look at McCulloch and Pitts' Logical Calculus of Ideas Immanent in Nervous Activity. Synthese 141 (2):175-215.
Oron Shagrir (2006). Why We View the Brain as a Computer. Synthese 153 (3):393-416.
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.
Gualtiero Piccinini (2006). Computational Explanation in Neuroscience. Synthese 153 (3):343-353.
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