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Connectionist models of cognition and perception : proceedings of the Seventh Neural Computation and Psychology Workshop, Brighton, England, 17-19 September 2001 / editors, John A. Bullinaria, Will Lowe.

By: (7th : Neural Computation and Psychology Workshop (7th : 2001 : Brighton, England)Contributor(s): Bullinaria, John A. (John Andrew), 1959- | Lowe, WillMaterial type: TextTextSeries: Progress in neural processing ; 14.Publication details: Singapore ; River Edge, N.J. : World Scientific, ©2002. Description: 1 online resource (xi, 303 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9789812777256; 9812777253Other title: Proceedings of the Seventh Neural Computation and Psychology WorkshopSubject(s): Cognitive neuroscience -- Congresses | Connectionism -- Congresses | Neural networks (Neurobiology) -- Congresses | Neural networks (Computer science) -- Psychological aspects -- Congresses | SCIENCE -- Cognitive Science | Cognitive neuroscience | Connectionism | Neural networks (Computer science) -- Psychological aspects | Neural networks (Neurobiology) | Connectionisme | Cognitie | Waarneming | Nerve Net -- physiology -- Congresses | Cognition -- physiology -- Congresses | Neural Networks (Computer) -- Congresses | Perception -- physiology -- CongressesGenre/Form: Electronic books. | Conference papers and proceedings. | Electronic books. Additional physical formats: Print version:: Connectionist models of cognition and perception.DDC classification: 612.8/233 LOC classification: QP363.3NLM classification: 2002 L-641 | WL 102Other classification: 77.31 Online resources: Click here to access online
Contents:
Preface; CELL ASSEMBLIES; Describing Low Level Psychological Phenomena through Cell Assemblies; The Implications of Binding for Models of Cognitive Brain Function; REPRESENTATION; The Evolution of Gated Sub-Networks and Modularity in the Human Brain; The Role of Perception and Action in Object Categorisation; Using Autoencoders to Model Asymmetric Category Learning in Early Infancy: Insights from Principal Components Analysis; Perception Orientated Representation in Problem Solving; Measurement and Design of Goal-Directed Behaviour.
Infant Habituation: A Review of Current Computational Models and a New ProposalMEMORY; Habituation During Encoding of Episodic Memory; An Activation-Based Theory of Immediate Item Memory; Short Term Memory in a Network of Spiking Neurons; VISION; Psychological Correlates of Face Shapes; Computational Grating and Bar Cell Models; Efficient Processing in the Retina; Implementation of Visual Routines; How Do People Look at Natural Images?; PERCEPTION; Neural Network Modelling of Inhibition in Visuo-Motor Control; Low Level Priming as a Consequence of Perception.
Natural Scene Perception: Visual Attractors and Images ProcessingEbbinghaus Illusion: Questioning the Role of Conceptual Similarity; LANGUAGE; Integrating Perception and Production in a Neural Network Model; Syllabic Phase: A Bottom-up Representation of the Temporal Structure of Speech; The Influence of Semantics in Lexical Selection in Speech; Author Index.
Summary: 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 s.
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Includes bibliographical references and index.

Print version record.

Preface; CELL ASSEMBLIES; Describing Low Level Psychological Phenomena through Cell Assemblies; The Implications of Binding for Models of Cognitive Brain Function; REPRESENTATION; The Evolution of Gated Sub-Networks and Modularity in the Human Brain; The Role of Perception and Action in Object Categorisation; Using Autoencoders to Model Asymmetric Category Learning in Early Infancy: Insights from Principal Components Analysis; Perception Orientated Representation in Problem Solving; Measurement and Design of Goal-Directed Behaviour.

Infant Habituation: A Review of Current Computational Models and a New ProposalMEMORY; Habituation During Encoding of Episodic Memory; An Activation-Based Theory of Immediate Item Memory; Short Term Memory in a Network of Spiking Neurons; VISION; Psychological Correlates of Face Shapes; Computational Grating and Bar Cell Models; Efficient Processing in the Retina; Implementation of Visual Routines; How Do People Look at Natural Images?; PERCEPTION; Neural Network Modelling of Inhibition in Visuo-Motor Control; Low Level Priming as a Consequence of Perception.

Natural Scene Perception: Visual Attractors and Images ProcessingEbbinghaus Illusion: Questioning the Role of Conceptual Similarity; LANGUAGE; Integrating Perception and Production in a Neural Network Model; Syllabic Phase: A Bottom-up Representation of the Temporal Structure of Speech; The Influence of Semantics in Lexical Selection in Speech; Author Index.

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 s.

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