Emergence of Functional Circuits in the Early Visual Pathway
Jang, Jaeson
Emergence of Functional Circuits in the Early Visual Pathway by Jaeson Jang, Se-Bum Paik - 1st edition 2022 - 1 recurso en línea (XXII, 121 páginas) 66 ilustraciones, 58 ilustraciones a color - KAIST Research Series 2214-255X .
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.
9789811900310
10.1007/978-981-19-0031-0 doi
Redes neuronales artificiales
Percepción visual
QP475 / 2022 EB
Emergence of Functional Circuits in the Early Visual Pathway by Jaeson Jang, Se-Bum Paik - 1st edition 2022 - 1 recurso en línea (XXII, 121 páginas) 66 ilustraciones, 58 ilustraciones a color - KAIST Research Series 2214-255X .
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.
9789811900310
10.1007/978-981-19-0031-0 doi
Redes neuronales artificiales
Percepción visual
QP475 / 2022 EB