Harder, better, faster, stronger: A review of “computational explorations in cognitive neuroscience” [Book Review]
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Just like the sequel to a successful movie, O’Reilly and Munakata’s “Computational Explorations in Cognitive Neuroscience” aims to follow up and expand on the original 1986 “Parallel Distributed Processing” volumes edited by James McClelland, David Rumelhart and the PDP research group. This kinship, which is explicitly recognized by the authors as the book is prefaced by Jay McClelland, is perceptible throughout Computational Explorations: Not only does this volume visit many of the problems and paradigms that the original books were focused on (so making Computational Explorations feel more like a remake than like a sequel), but there also is an instantly recognizable, and clearly “psychological” approach to the role of computational modelling in the cognitive neurosciences. The result is a highly effective, wonderful introduction to the ideas, methods, and problems that characterize this still burgeoning domain.
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