Theoretical Relevance of Neuropsychological Data for Connectionist Modelling

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<br />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<br />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