Connectionist models of neurocognition and emergent behavior : from theory to applications : proceedings of the 12th Neural Computation and Psychology Workshop, Birbeck, University of London, 8-10 April, 2010 / editor, Eddy J. Davelaar.

Format:

Book

Conference/Event

Author/Creator:

Neural Computation and Psychology Workshop, Corporate Author.

Contributor:

Davelaar, Eddy J.

Conference Name:

Neural Computation and Psychology Workshop (12th : 2010 : University of London)

Neural Computation and Psychology Workshop.

Series:

Progress in neural processing ; 20.

Progress in neural processing ; 20

Language:

English

Subjects (All):

Neural networks (Neurobiology)--Congresses.

Neural networks (Neurobiology).

Neural computers--Congresses.

Neural computers.

Connectionism--Congresses.

Connectionism.

Cognition--Congresses.

Cognition.

Physical Description:

1 online resource (380 p.)

Edition:

1st ed.

Place of Publication:

Singapore : World Scientific, 2012.

Language Note:

English

Summary:

This volume collects together most of the papers presented at the Twelfth Neural Computation and Psychology Workshop (NCPW12) held in 2010 at Birkbeck College (England). The conference invited submissions on neurocomputational models of all cognitive and psychological processes. The special theme of this conference was "From Theory to Applications", which allowed submissions of pure theoretical work and of pure applied work. This topic extended the boundaries of the conference and highlighted the extent to which computational models of cognition and models in general are integrated in the cogn

Contents:

Preface; CONTENTS; Introduction Eddy J. Davelaar; 1. Trends in Cognitive Modeling; 1.1. Agent-World Interaction; 1.2. What are Models for?; 2. Overview of the Book; 2.1. Visual perception and attention; 2.2. Speech and language; 2.3. High-level cognition; 2.4. Applications and methodologies; 2.5. Philosophy of computational science; An Ecology-Based Approach to Perceptual Modelling E. L. Byrne, D. P. A Corney and R. B. Lotto; 1. Introduction; 2. Empirical Vision: Perception as Ambiguity Resolution; 3. Current Approaches to Perceptual Modelling; 4. What is Ecology-Based Modelling?

5. Motivating Example: White's Illusion5.1. An Ecology-Based Model of White's Illusion; 6. Discussion; References; Early Development of Visual Abilities Alessio Plebe; 1. Introduction; 2. Psychological and neurophysiological evidence of visual development; 2.1. Cases in visual anthropology; 2.2. Cases in developmental psychology; 2.3. Cases in neurophysiology; 3. Modeling lower visual areas; 3.1. Mathematics for developing artificial cortical maps; 3.2. Overall structure of the model; 3.3. Stimuli simulation; 4. Visual abilities learnt by the model; 4.1. Orientation selectivity in model V1

4.2. Angle selectivity in model V25. Conclusions; References; A Dynamical Neural Simulation of Feature-based Attention And Binding in a Recurrent Model of the Ventral Stream D. G. Harrison and M. De Kamps; 1. Introduction; 1.1. Spatial Attention; 1.2. Feature-Based Attention; 1.3. Object-Based Attention; 2. The Model; 2.1. The Implementation; 3. A Binding Problem; 4. Results; 5. Discussion; 6. Conclusions; 7. Future Work; 8. Acknowledgements; References

Model Selection for Eye Movements: Assessing the Role of Attentional Cues in Infant Learning Daniel Yurovsky, Rachel Wu, Chen Yu, Natasha Z. Kirkham and Linda B. Smith1. Introduction; 1.1. Multimodal Relationships; 1.2. Social and Non-Social Cues; 1.3. Learning from Attention Cues; 2. Microanalysis: A Model Selection Approach; 2.1. Motivation; 2.2. Model Selection for Eye Movements; 3. Modeling the Cued Learning Task; 3.1. Formalizing the Task; 3.2. A Null Model; 3.3. A Learning Model; 3.4. Selecting the Best Model; 3.5. Model Training; 4. Results and Discussion

4.1. Data Analysis of 8 months Face Condition4.2. Comparison Across Conditions; 5. Conclusions; Acknowledgments; References; The Importance of Low Spatial Frequencies for Categorization of Emotional Facial Expressions L. Lopez, P. Bonin, N. Vermeulen, A. Meot and M. Mermillod; 1. Introduction; 2. Simulation 1; 2.1. Stimuli; 2.2. Self-Organizing Map (SOM); 2.3. Method; 2.4. Results; 2.5. Discussion; 3. Simulation 2; 3.1. Stimuli; 3.2. Network; 3.3. Procedure; 3.4. Results; 3.5. Discussion; 4. Conclusion; Acknowledgments; Bibliography

Modeling Speech Perception with Restricted Boltzmann Machines Michael Klein, Louis ten Bosch and Lou Boves

Notes:

Description based upon print version of record.

Includes bibliographical references.

ISBN:

1-283-43369-9

9786613433695

981-4340-35-9

OCLC:

858228396