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Emergence of Functional Circuits in the Early Visual Pathway / by Jaeson Jang, Se-Bum Paik

By: Jang, Jaeson, autor
Contributor(s): Paik, Se-Bum, autor
Material type: materialTypeLabelE-bookSeries: Publisher: Singapore : : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XXII, 121 páginas) : 66 ilustraciones, 58 ilustraciones a color.ISBN: 9789811900310.Subject: Redes neuronales artificiales | Percepción visualOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Topographical consistency of cortical maps -- Orthogonal organization of visual cortex -- Parametric classifications of cortical organization -- Discussion: Biological plausibility of the model.
Summary: This book discusses the emergence of diverse functional organizations in the visual pathway which could be spontaneously and solely initiated by the random feedforward wiring of neural circuits. It demonstrates that the structure of ON and OFF retinal ganglion cell (RGC) mosaics is projected onto V1 by retino-cortical feedforward mapping to induce higher cognitive functions. This book will be beneficial for both theoretical and experimental neuroscientists, as well as for researchers using brain-inspired neural network models.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QP475 2022 EB (Browse shelf(Opens below)) Acceso electrónico eBook.28102377
Total holds: 0

Introduction -- Topographical consistency of cortical maps -- Orthogonal organization of visual cortex -- Parametric classifications of cortical organization -- Discussion: Biological plausibility of the model.

This book discusses the emergence of diverse functional organizations in the visual pathway which could be spontaneously and solely initiated by the random feedforward wiring of neural circuits. It demonstrates that the structure of ON and OFF retinal ganglion cell (RGC) mosaics is projected onto V1 by retino-cortical feedforward mapping to induce higher cognitive functions. This book will be beneficial for both theoretical and experimental neuroscientists, as well as for researchers using brain-inspired neural network models.

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