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Connectionist models of neurocognition and emergent behavior : from theory to applications : proceedings of the 12th Neural Computation and Psychology Workshop / editor, Eddy J. Davelaar.

By: (12th : Neural Computation and Psychology Workshop (12th : 2010 : London, England)Contributor(s): Davelaar, Eddy JMaterial type: TextTextSeries: Progress in neural processing ; 20.Publication details: Singapore ; Hackensack, N.J. : World Scientific, ©2012. Description: 1 online resource (viii, 371 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9814340359; 9789814340359Subject(s): Neural networks (Neurobiology) -- Congresses | Connectionism -- Congresses | Cognition -- Congresses | MEDICAL -- Neuroscience | PSYCHOLOGY -- Neuropsychology | Cognition | Connectionism | Neural networks (Neurobiology)Genre/Form: Electronic books. | Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: No titleDDC classification: 612.82 LOC classification: QP363.3 | .N395 2012Online resources: Click here to access online
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.
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.
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Selected conference papers.

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.

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.

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