Computational Models Of Cognitive Processes: Proceedings Of The 13th Neural Computation And Psychology Workshop, 1st Edition

  • Published By: World Scientific Publishing Company
  • ISBN-10: 9814458848
  • ISBN-13: 9789814458849
  • DDC: 612.8
  • Grade Level Range: College Freshman - College Senior
  • 288 Pages | eBook
  • Original Copyright 2013 | Published/Released January 2015
  • This publication's content originally published in print form: 2013

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Computational Models of Cognitive Processes collects refereed versions of papers presented at the 13th Neural Computation and Psychology Workshop (NCPW13) that took place July 2012, in San Sebastian (Spain). 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 models of cognitive processes.

Table of Contents

Front Cover.
Half Title Page.
Other Front Matter.
Title Page.
Copyright Page.
1: Language.
2: Modelling Language – Vision Interactions in the Hub and Spoke Framework.
3: Modelling Letter Perception: The Effect of Supervision and Top-Down Information on Simulated Reaction Times.
4: Encoding Words into a Potts Attractor Network.
5: Unexpected Predictability in the Hawaiian Passive.
6: Difference between Spoken and Written Language Based on Zipf's Law Analysis.
7: Reading Aloud Is Quicker Than Reading Silently: A Study in the Japanese Language Demonstrating the Enhancement of Cognitive Processing by Action.
8: Development.
9: Testing a Dynamic Neural Field Model of Children's Category Labelling.
10: Theoretical and Computational Limitations in Simulating 3- to 4-Month-Old Infants’ Categorization Processes.
11: Reinforcement-Modulated Self-Organization in Infant Motor Speech Learning.
12: A Computational Model of the Headturn Preference Procedure:design, Challenges, and Insights.
13: Right Otitis Media in Early Childhood and Language Development: An ERP Study.
14: High-Level Cognition.
15: The Influence of Implementation on “hub” Models of Semantic Cognition.
16: Hierarchical Structure in Prefrontal Cortex Improves Performance at Abstract Tasks.
17: Interactive Activation Networks for Modelling Problem Solving.
18: On Observational Learning of Hierarchies in Sequential Tasks: A Dynamic Neural Field Model.
19: Knowing When to Quit on Unlearnable Problems: Another Step Towards Autonomous Learning.
20: A Conflict/Control-Loop Hypothesis of Hemispheric Brain Reserve Capacity.
21: Action and Emotion.
22: Modeling the Actor-Critic Architecture by Combining Recent Work in Reservoir Computing and Temporal Difference Learning in Complex Environments.
23: The Conceptualisation of Emotion Qualia: Semantic Clustering of Emotional Tweets.
24: A Neuro-Computational Study of Laughter.