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Connectionist Models of Cognition and Perception cover

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.