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Computational Maps in the Visual Cortex / by Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, Joseph Sirosh.

Por: Colaborador(es): Tipo de material: TextoTextoEditor: New York, NY : Springer New York, 2005Descripción: xxxii, 570 páginas, 177 ilustraciones, 47 en color. recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9780387288062
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • QP351-495
Recursos en línea:
Contenidos:
Biological Background -- Computational Foundations -- LISSOM: A Computational Map Model of V1 -- Development of Maps and Connections -- Understanding Plasticity -- Understanding Visual Performance: The Tilt Aftereffect -- HLISSOM: A Hierarchical Model -- Understanding Low-Level Development: Orientation Maps -- Understanding High-Level Development: Face Detection -- PGLISSOM: A Perceptual Grouping Model -- Temporal Coding -- Understanding Perceptual Grouping: Contour Integration -- Computations in Visual Maps -- Scaling LISSOM simulations -- Discussion: Biological Assumptions and Predictions -- Future Work: Computational Directions -- Conclusion.
Resumen: This book presents a unified computational approach to understanding the structure, development, and function of the visual cortex. It reviews the current theories of the visual cortex and the biological data on which they are based, and presents a detailed analysis of the laterally connected self-organizing map model and results obtained to date. Together with the software package Topographica, it serves as a comprehensive foundation for future research in computational neuroscience of the visual cortex.
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Springer eBooks

Biological Background -- Computational Foundations -- LISSOM: A Computational Map Model of V1 -- Development of Maps and Connections -- Understanding Plasticity -- Understanding Visual Performance: The Tilt Aftereffect -- HLISSOM: A Hierarchical Model -- Understanding Low-Level Development: Orientation Maps -- Understanding High-Level Development: Face Detection -- PGLISSOM: A Perceptual Grouping Model -- Temporal Coding -- Understanding Perceptual Grouping: Contour Integration -- Computations in Visual Maps -- Scaling LISSOM simulations -- Discussion: Biological Assumptions and Predictions -- Future Work: Computational Directions -- Conclusion.

This book presents a unified computational approach to understanding the structure, development, and function of the visual cortex. It reviews the current theories of the visual cortex and the biological data on which they are based, and presents a detailed analysis of the laterally connected self-organizing map model and results obtained to date. Together with the software package Topographica, it serves as a comprehensive foundation for future research in computational neuroscience of the visual cortex.

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