Connectionist Models of Development Developmental Processes in Real and Artificial Neural Networks

An edited collection of essays on the current work concerning connectionist or neural network models of human development.

Info autore

Philip Quinlan is an experienced Senior Lecturer in Psychology at the University of York, and the author of a previous book on Connectionism and Psychology.

Riassunto

An edited collection of essays on the current work concerning connectionist or neural network models of human development.

Testo aggiuntivo

This book is a selection of state-of-the-art papers on connectionist models of development that illustrate how a range of different kinds of connectionist approaches and methodologies can be used to shed light on particular developmental phenomena and on more general issues in developmental theory. - Julian Pine, University of Nottingham, UKThis volume nicely reflects the vibrant nature of thinking, modelling and research in neural network models of development. The range of topics is both impressive and entertaining and the links between new facts about brain development and new methods for computation modelling are particularly exciting. - Brian MacWhinney, Carnegie Mellon University, USA

Dettagli sul prodotto

• Con la collaborazione di: Quinlan Philip T. (Editore), Philip Quinlan (Editore), Philip T. Quinlan (Editore)
• Editore: Taylor and Francis
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 31.12.2021
• Categoria: Scienze naturali, medicina, informatica, tecnica > Medicina > Branche cliniche
• EAN: 9781841692685
• ISBN: 978-1-84169-268-5
• Numero di pagine: 400
• Dimensioni (della confezione): 15.6 x 23.4 cm
• Peso (della confezione): 793 g
• Serie: Studies in Developmental Psychology; Studies in Developmental Psychology
• Categorie: MEDICAL / Neurology, Neurology & clinical neurophysiology, Psycholinguistics, Neurology and clinical neurophysiology, COMPUTERS / Data Science / Neural Networks, Neural networks and fuzzy systems, Neural networks & fuzzy systems, neural computation, Computational Modelling, prefrontal cortex function, developmental cognitive science, infant learning mechanisms, self-organising neural network models