MODELLING PERCEPTION WITH ARTIFICIAL NEURAL NETWORKS

TOSH, COLIN

ISBN 10: 0521763959 / ISBN 13: 9780521763950

Published by CAMBRIDGE U.P., CAMBRIDGE, 2010

About this Item

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. Seller Inventory # 171915

Bibliographic Details

Title: MODELLING PERCEPTION WITH ARTIFICIAL NEURAL ...

Publisher: CAMBRIDGE U.P., CAMBRIDGE

Publication Date: 2010

Binding: Cartoné (tapa dura cartón)

Condition: New

Dust Jacket Condition: Nuevo

Edition: 1.

Book Type: LIBRO

About this title

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.

Book Description:

A complete survey of neural network models, with an introduction to the theme of the book for those new to the field along with methodological issues and suggestions for potential research areas for specialists. Includes contributions from experts in the field.