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by Stefano Ghirlanda,Magnus Enquist
Download Neural Networks and Animal Behavior (Monographs in Behavior and Ecology) fb2
Computer Science
  • Author:
    Stefano Ghirlanda,Magnus Enquist
  • ISBN:
    0691096325
  • ISBN13:
    978-0691096322
  • Genre:
  • Publisher:
    Princeton University Press (September 4, 2005)
  • Pages:
    224 pages
  • Subcategory:
    Computer Science
  • Language:
  • FB2 format
    1177 kb
  • ePUB format
    1384 kb
  • DJVU format
    1657 kb
  • Rating:
    4.6
  • Votes:
    965
  • Formats:
    txt docx mbr lrf


This book will make a major contribution to the field of animal behavior. The explanations are clear and the math transparent.

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. This book will make a major contribution to the field of animal behavior. Anyone who viewed artificial neural networks as mysterious black boxes will have their minds changed. ―Michael J. Ryan, University of Texas, Austin.

This book shows how scientists can employ ANNs to analyze animal behavior . The book concludes by comparing neural networks to other approaches. It will appeal to students of animal behavior in many disciplines.

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. It will also interest neurobiologists, cognitive scientists, and those from other fields who wish to learn more about animal behavior.

Networks and Animal Behavior - Monographs in Behavior and Ecology (Hardback). Magnus Enquist (author), Stefano Ghirlanda (author). Scientists create Artificial Neural Networks (ANNs) to make models of the brain.

Neural Networks and Animal Behavior - Monographs in Behavior and Ecology (Hardback). 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.

2005 Серия: Monographs in behavior and ecology Язык: ENG Иллюстрации: 12 halftones. It shows how scientists can employ ANNs to analyze animal behavior, explores the general principles of the nervous systems, and tests potential generalizations among species.

The Conceptual Ecology of the Human Microbiome. Morar et al. Polydactyly in Development, Inheritance, and Evolution. Lange et al. Power in Cultural Evolution and the Spread of Prosocial Norms.

The book concludes by comparing neural networks to other approaches. It will also interest neurobiologists, cognitive scientists, and those from other fields who wish to learn more about animal behavior

The book concludes by comparing neural networks to other approaches. Read on the Scribd mobile app. Download the free Scribd mobile app to read anytime, anywhere.

oceedings{Enquist2005NeuralNA, title {Neural Networks and Animal Behavior}, author {Magnus Enquist and Stefano Ghirlanda} . How life history and demography promote or inhibit the evolution of helping behaviours. Laurent Lehmann, François Rousset.

oceedings{Enquist2005NeuralNA, title {Neural Networks and Animal Behavior}, author {Magnus Enquist and Stefano Ghirlanda}, year {2005} }. Magnus Enquist, Stefano Ghirlanda. Philosophical transactions of the Royal Society of London.

Series: Monographs in Behavior and Ecology. The first chapter introduces various approaches to animal behavior and provides an informal introduction to neural networks, their history, and their potential advantages. 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.

Enquist, Magnus, Ghirlanda, Stefano. Neural Networks and Animal Behavior. Series:Monographs in Behavior and Ecology. Princeton university press.

En la evaluación clínica y radiológica, se encontró tres huevos en posiciones normales. se aconsejó la observación del animal

En la evaluación clínica y radiológica, se encontró tres huevos en posiciones normales. Teniendo en cuenta la temporada de reproducción,. se aconsejó la observación del animal. Después de un año, dicho animal regresó a la clínica por no haber todavía expulsado los huevos. Tras nuevo examen radiográfico se observó que los 3 huevos continuaban en la misma posición. A continuación, se aplicó . 3 ml de oxitocina por vía subcutanea (10 UI x ml), en el apéndice anterior del animal.

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.