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[null,"1.","Record Nr.",null,"UNINA9910568295503321"]
[null,null,"Autore",null,"Jang Jaeson"]
[null,null,"Titolo",null,"Emergence of Functional Circuits in the Early Visual Pathway / / by Jaeson Jang, Se-Bum Paik"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"981-19-0031-0"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (138 pages)"]
[null,null,"Collana",null,"KAIST Research Series, , 2214-255X"]
[null,null,"Disciplina",null,"612.82"]
[null,null,"Soggetti",null,"Neurotechnology (Bioengineering)"]
[{"$nulls":4},"Neural circuitry"]
[{"$nulls":4},"Developmental neurobiology"]
[{"$nulls":4},"Computational neuroscience"]
[{"$nulls":4},"Learning - Physiological aspects"]
[{"$nulls":4},"Memory - Physiological aspects"]
[{"$nulls":4},"Neuroengineering"]
[{"$nulls":4},"Neural Circuits"]
[{"$nulls":4},"Development of the Nervous System"]
[{"$nulls":4},"Computational Neuroscience"]
[{"$nulls":4},"Learning and Memory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Introduction -- Topographical consistency of cortical maps -- Orthogonal organization of visual cortex -- Parametric classifications of cortical organization -- Discussion: Biological plausibility of the model."]
[null,null,null,"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."]