1.

Record Nr.

UNISA990003113410203316

Autore

ALSUWAIYEL, M.H.

Titolo

Algorithms : design techniques and analysis / M.H. Alsuwaiyel

Pubbl/distr/stampa

Hackensack : World Scientific Publishing, copyr. 1999

ISBN

981-02-3740-5

Descrizione fisica

XIX, 523 p. : ill. ; 22 cm

Collana

Lecture notes series on computing ; 7

Disciplina

511.8

Soggetti

Algoritmi

Collocazione

511.8 ALS

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910568295503321

Autore

Jang Jaeson

Titolo

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

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022

ISBN

981-19-0031-0

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (138 pages)

Collana

KAIST Research Series, , 2214-255X

Disciplina

612.82

Soggetti

Neurotechnology (Bioengineering)

Neural circuitry

Developmental neurobiology

Computational neuroscience

Learning - Physiological aspects

Memory - Physiological aspects

Neuroengineering

Neural Circuits

Development of the Nervous System

Computational Neuroscience

Learning and Memory



Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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

Sommario/riassunto

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.