Connectionist models of development developmental processes in real and artificial neural networks

Connectionist Models of Development is an edited collection of essays on the current work concerning connectionist or neural network models of human development. The brain comprises millions of nerve cells that share myriad connections, and this book looks at how human development in these systems...

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Detalles Bibliográficos
Otros Autores: Quinlan, Philip T. (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hove, East Sussex ; New York : Psychology Press 2003.
Edición:1st ed
Colección:Studies in developmental psychology.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009798037906719
Descripción
Sumario:Connectionist Models of Development is an edited collection of essays on the current work concerning connectionist or neural network models of human development. The brain comprises millions of nerve cells that share myriad connections, and this book looks at how human development in these systems is typically characterised as adaptive changes to the strengths of these connections. The traditional accounts of connectionist learning, based on adaptive changes to weighted connections, are explored alongside the dynamic accounts in which networks generate their own structures as learnin
Notas:Description based upon print version of record.
Descripción Física:1 online resource (373 p.)
Bibliografía:Includes bibliographical references and indexes.
ISBN:9781135426590
9780203621974
9781135426606
9781280052019
9780203494028