Theoretical Relevance of Neuropsychological Data for Connectionist Modelling

Mauricio Iza, Alexandra Konstenius

Abstract


The symbolic information-processing paradigm in cognitive psychology has met a growing challenge from neural network models over the past two decades. While neuropsychological
evidence has been of great utility to theories concerned with information processing, the real question is, whether the less rigid connectionist models provide valid, or enough, information
concerning complex cognitive structures. In this work, we will discuss the theoretical implications that neuropsychological data posits for modelling cognitive systems.

Keywords


Connectionist representation, Neuropsychological deficits, computational neuroscience

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