My Account Log in

6 options

Neural Networks and Animal Behavior / Stefano Ghirlanda, Magnus Enquist.

De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 Available online

View online

EBSCOhost Academic eBook Collection (North America) Available online

View online

Ebook Central Academic Complete Available online

View online

Ebook Central College Complete Available online

View online

Ebook Central University Press Available online

View online

Ebscohost Ebooks University Press Collection (North America) Available online

View online
Format:
Book
Author/Creator:
Enquist, Magnus, author.
Ghirlanda, Stefano, author.
Series:
Monographs in Behavior and Ecology
Language:
English
Subjects (All):
Animal behavior--Computer simulation.
Behavior, Animal.
Neural networks (Computer science).
Local Subjects:
Animal behavior--Computer simulation.
Behavior, Animal.
Neural networks (Computer science).
Physical Description:
1 online resource (266 p.)
Edition:
Course Book
Place of Publication:
Princeton, NJ : Princeton University Press, [2013]
Language Note:
In English.
Summary:
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.
Contents:
Frontmatter
Contents
Preface
Chapter One. Understanding Animal Behavior
Chapter Two. Fundamentals of Neural Network Models
Chapter Three. Mechanisms of Behavior
Chapter Four. Learning and Ontogeny
Chapter Five. Evolution
Chapter Six. Conclusions
Bibliography
Index
Notes:
Description based upon print version of record.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Jul 2019)
ISBN:
1-4008-5078-9
OCLC:
864383228

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account