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Neural Networks and Animal Behavior : Monographs in Behavior and Ecology - Magnus Enquist

Neural Networks and Animal Behavior

Monographs in Behavior and Ecology

Paperback

Published: 4th September 2005
For Ages: 22+ years old
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How can we make better sense of animal behavior by using what we know about the brain? This is the first book that attempts to answer this important question by applying neural network theory. Scientists create Artificial Neural Networks (ANNs) to make models of the brain. These networks mimic the architecture of a nervous system by connecting elementary neuron-like units into networks in which they stimulate or inhibit each other's activity in much the same way neurons do. This book shows how scientists can employ ANNs to analyze animal behavior, explore the general principles of the nervous systems, and test potential generalizations among species. The authors focus on simple neural networks to show how ANNs can be investigated by math and by computers. They demonstrate intuitive concepts that make the operation of neural networks more accessible to nonspecialists.

The first chapter introduces various approaches to animal behavior and provides an informal introduction to neural networks, their history, and their potential advantages. The second chapter reviews artificial neural networks, including biological foundations, techniques, and applications. The following three chapters apply neural networks to such topics as learning and development, classical instrumental condition, and the role of genes in building brain networks. The book concludes by comparing neural networks to other approaches. It will appeal to students of animal behavior in many disciplines. It will also interest neurobiologists, cognitive scientists, and those from other fields who wish to learn more about animal behavior.

"Neural Networks and Animal Behavior will interest students of animal behavior, cognitive scientists, engineers, and anyone working with neural networks. In a real way, this book is a bridge across the disciplines, constructing connections between animal behavior theories to other modes of understanding."--Biology Digest "This is a timely contribution to the field that should mark a turning point in the use of neural networks in animal behavior research."--Richard Peters, Animal Behaviour

Prefacep. vii
Understanding Animal Behaviorp. 1
The causes of behaviorp. 2
A framework for models of behaviorp. 4
The structure of behavior modelsp. 7
Neural network modelsp. 18
Fundamentals of Neural Network Modelsp. 31
Network nodesp. 31
Network architecturesp. 39
Achieving specific input-output mappingsp. 45
Organizing networks without specific guidancep. 57
Working with your own modelsp. 58
Mechanisms of Behaviorp. 67
Analysis of behavior systemsp. 67
Building neural network modelsp. 70
Reactions to stimulip. 75
Sensory processingp. 89
Temporal patternsp. 96
Many sources of information and messy informationp. 99
Central mechanisms of decision makingp. 100
Motor controlp. 115
Consequences of damage to nervous systemsp. 123
Learning and Ontogenyp. 129
What are learning and ontogeny?p. 129
General aspects of learningp. 130
Network models of general learning phenomenap. 141
Behaviorally silent learningp. 151
Comparison with animal learning theoryp. 155
Training animals versus training networksp. 159
Ontogenyp. 160
Conclusionsp. 170
Evolutionp. 173
The evolution of behavior systemsp. 173
Requirements for evolving behavior mechanismsp. 175
The material basis of behavioral evolutionp. 178
Exploring evolution with neural network modelsp. 186
Conclusionsp. 202
Conclusionsp. 205
Are neural networks good models of behavior?p. 205
Do we use too simple network models?p. 208
Comparisons with other modelsp. 208
Neural networks and animal cognitionp. 210
Final wordsp. 218
Bibliographyp. 219
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9780691096339
ISBN-10: 0691096333
Series: Monographs in Behavior and Ecology
Audience: Tertiary; University or College
For Ages: 22+ years old
Format: Paperback
Language: English
Number Of Pages: 256
Published: 4th September 2005
Publisher: Princeton University Press
Country of Publication: US
Dimensions (cm): 23.5 x 15.2  x 1.78
Weight (kg): 0.4