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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.
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