Connectionist Models Of Learning Development And Evolution

Connectionist Models of Learning, Development and Evolution comprises a selection of papers presented at the Sixth Neural Computation and Psychology Workshop - the only international workshop devoted to connectionist models of psychological phenomena. With a main theme of neural network modelling in the areas of evolution, learning, and development, the papers are organized into six sections: The neural basis of cognition Development and category learning Implicit learning Social cognition Evolution Semantics Covering artificial intelligence, mathematics, psychology, neurobiology, and philosophy, it will be an invaluable reference work for researchers and students working on connectionist modelling in computer science and psychology, or in any area related to cognitive science.

The neural computational approach to cognitive and psychological processes is relatively new. However, Neural Computation and Psychology Workshops (NCPW), first held 16 years ago, lie at the heart of this fast-moving discipline, thanks to its interdisciplinary nature ? bringing together researchers from different disciplines such as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their work on models of cognitive processes.Once again, the Eleventh Neural Computation and Psychology Workshop (NCPW11), held in 2008 at the University of Oxford (England), reflects the interdisciplinary nature and wide range of backgrounds of this field. This volume is a collection of peer-reviewed contributions of most of the papers presented at NCPW11 by researchers from four continents and 15 countries.

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.

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. Contents:Cell Assemblies:Describing Low Level Psychological Phenomena Through Cell Assemblies (C R Huyck)The Implications of Binding for Models of Cognitive Brain Function (P H de Vries & G J Dalenoort)Representation:The Role of Perception and Action in Object Categorisation (A Borghi et al.)Perception Orientated Representation in Problem Solving (A Wichert)Memory:Habituation During Encoding of Episodic Memory (S Sikström)Short Term Memory in a Network of Spiking Neurons (J Sougné)Vision:Efficient Processing in the Retina (B T Vincent)Implementation of Visual Routines (G J van Tonder & Y Ejima)Perception:Natural Scene Perception: Visual Attractors and Images Processing (A Chauvin et al.)Ebbinghaus Illusion: Questioning the Role of Conceptual Similarity (S M Lambert & A E Azzi)Language:Integrating Perception and Production in a Neural Network Model (G Westermann & E R Miranda)The Influence of Semantics in Lexical Selection in Speech (R A I Davies)and other papers Readership: Graduate students, academics and researchers in neural computation and psychology. Keywords:Connectionist;Neural;Network;Computation;Models;Psychology;Perception;Cognition;Memory;Vision;Language

Vol. includes all papers and posters presented at 2001 Cog Sci Mtg & summaries of symposia & invited addresses. Deals w/ issues of repres & model'g cog processes. Appeals to scholars in subdisciplines that comprise Cog Sci: Psych, Computr Sci, Neuro, Lin

A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.