Computational Modelling in Behavioural Neuroscience - Closing the Gap Between Neurophysiology and Behaviour (Paperback)

Classically, behavioural neuroscience theorizes about experimental evidence in a qualitative way. However, more recently there has been an increasing development of mathematical and computational models of experimental results, and in general these models are more clearly defined and more detailed than their qualitative counter parts. These new computational models can be set up so that they are consistent with both single neuron and whole-system levels of operation, allowing physiological results to be meshed with behavioural data - thus closing the gap between neurophysiology and human behaviour. There is considerable diversity between models with respect to the methodology of designing a model, the degree to which neurophysiological processes are taken into account and the way data (behavioural, electrophysiological, etc) constrains a model. This book presents examples of this diversity and in doing so represents the state-of-art in the field through a unique collection of papers from the world's leading researchers in the area of computational modelling in behavioural neuroscience. Based on talks given at the third Behavioural Brain Sciences Symposium, held at the Behavioural Brain Sciences Centre, University of Birmingham, in May 2007, the book appeals to a broad audience, from postgraduate students beginning to work in the field to experienced experimenters interested in an overview.

General

Imprint:	Psychology Press
Country of origin:	United Kingdom
Series:	Advances in Behavioural Brain Science
Release date:	October 2012
First published:	2009
Editors:	Dietmar Heinke • Eirini Mavritsaki
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	376
ISBN-13:	978-0-415-64685-7
Categories:	Books > Social sciences > Psychology > Cognition & cognitive psychology > General
LSN:	0-415-64685-5
Barcode:	9780415646857

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