MODELLING PERCEPTION WITH ARTIFICIAL NEURAL NETWORKS by Colin R. Tosh (Editor), Graeme D. Ruxton (Editor) ( 9780521763950 )

Item Details

Title:

MODELLING PERCEPTION WITH ARTIFICIAL NEURAL NETWORKS

By:

Colin R. Tosh (Editor), Graeme D. Ruxton (Editor)

Format:

Hardback

List price:

£125.00

Our price:

£109.38

Discount:

12.5% off

You save:

£15.62

ISBN 10:

0521763959

ISBN 13:

9780521763950

Availability:

Usually dispatched within 1-3 weeks.

Delivery rates

Stock:

Currently 0 available

Publisher:

CAMBRIDGE UNIVERSITY PRESS

Pub. date:

24 June, 2010

Pages:

408

Description:

A complete review of neural network models; a modern, powerful and successful tool for studying animal perception.

Synopsis:

Studies of the evolution of animal signals and sensory behaviour have more recently shifted from considering 'extrinsic' (environmental) determinants to 'intrinsic' (physiological) ones. The drive behind this change has been the increasing availability of neural network models. With contributions from experts in the field, this book provides a complete survey of artificial neural networks. The book opens with two broad, introductory level reviews on the themes of the book: neural networks as tools to explore the nature of perceptual mechanisms, and neural networks as models of perception in ecology and evolutionary biology. Later chapters expand on these themes and address important methodological issues when applying artificial neural networks to study perception. The final chapter provides perspective by introducing a neural processing system in a real animal. The book provides the foundations for implementing artificial neural networks, for those new to the field, along with identifying potential research areas for specialists.

Illustrations:

78 b/w illus.

Publication:

Imprint:

Cambridge University Press

Returns:

Returnable

Some other items by this author:

AVOIDING ATTACK (HB)

AVOIDING ATTACK (PB)

CIRCULAR STATISTICS IN R (PB)

EXPERIMENTAL DESIGN FOR THE LIFE SCIENCES (PB)