From Associations to Rules

From Associations to Rules : Connectionist Models of Behavior and Cognition: Proceedings of the Tenth Neural Computation and Psychology Workshop

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This book introduces a host of connectionist models of cognition and behaviour. The major areas covered are high-level cognition, language, categorization and visual perception, and sensory and attentional processing. All of the articles cover unpublished research work. The key contribution of this book is that it focuses exclusively on the advances in connectionist modelling in psychology. The papers are relatively short, and were explicitly written to be accessible to both connectionist modellers and experimental psychologists.

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Product details

  • Paperback | 250 pages
  • 152 x 226 x 14mm | 358.34g
  • World Scientific Publishing Co Pte Ltd
  • Singapore, Singapore
  • English
  • 9812797319
  • 9789812797315

Table of contents

High-Level Cognition: A Connectionist Approach to Modeling the Flexible Control of Routine Action Sequences (N Ruh); Associative and Connectionist Accounts of Biased Contingency Detection in Humans (S Musca et al.); Putting False Memories into Context (E Davelaar); Another Reason Why We Should Look After Our Children (J Bullinaria); Language: A Multimodal Model of Early Child Language Acquisition (A Nyamapfene); A Self-organizing Model of Word Learning: A First Step (J Mayor & K Plunkett); Self-organizing Word Representations for Reading-Time Prediction (S Frank); Grain-Size Effects in Reading: Insights from Connectionist Models of Normal and Impaired Reading (G Pagliuca & P Monaghan); Using Distributional Methods to Estimate the Systematicity Between Form and Meaning in British Sign Language (J Levy & N Thompson); Categorization and Visual Perception: Transient Attentional Enhancement During the Attentional Blink: ERP Correlates of the ST2 Model (S Chennu et al.); A Dual-System Model of Categorization in Infancy (G Westermann & D Mareschal); A Dual-Layer Model of High-Level Perception (J Han et al.); Sensory and Attentional Processing: Processing Symbolic Sequences Using Echo-State Networks (M Cernansky); Neural Models of Head-Direction Systems (P Zeidman & J Bullinaria); Recurrent Self-organization of Sensory Signals in the Auditory Domain (C Delbe); Reconstruction of Spatial and Chromatic Information from the Cone Mosaic (D Alleysson et al.); Associative Memory Models with Mammalian Cortical Features (W Chen et al.); Connectionist Hypothesis About an Ontogenetic Development of Conceptually Driven Cortical Anisotropy (M Mermillod et al.).

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