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Connectionist Models of Cognition and Perception collects together refereed versions of twenty-three papers presented at the Seventh Neural Computation and Psychology Workshop (NCPW7). This workshop series is a well-established and unique forum that brings together researchers from such diverse disciplines as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their latest work on connectionist modelling in psychology.The articles have the main theme of connectionist modelling of cognition and perception, and are organised into six sections, on: cell assemblies, representation, memory, perception, vision and language. This book is an invaluable resource for researchers interested in neural models of psychological phenomena.
This volume contains a collection of papers presented at the 4th Neural Computation and Psychology Workshop, held in London from 7-11 April 1997. The theme of the workshop was: Connectionist Representations: Theory and Practice which covers many importan t issues ranging from the philosophical (such as the grounding problem), and the physiological (what can connectionist representations tell us about the real neural system?), to the technical (what is needed in order to get specific models to work?). The topic is one of increasing importance within Neural Computing and covers issues of interest to researchers from a wide range of backgrounds including: artificial intelligence, applied mathematics, cognitive science, computer science, neurobiology, phi losophy and psychology. In providing a comprehensive overview of this topic it provides an invaluable contribution to the Perspectives in Neural Computing series.
This book uses recent computational models to explore issues related to language and cognition.