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|a QL751.65.D37 .E384 2013
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|a 591.5
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|a UAMI
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|a Enquist, Magnus.
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|a Neural Networks and Animal Behavior.
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|b Princeton University Press,
|c 2013.
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300 |
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|a 1 online resource
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|a text
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|a online resource
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490 |
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|a Monographs in Behavior and Ecology
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|a Print version record.
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|a Cover; Title; Copyright; Contents; Preface; Chapter 1. Understanding Animal Behavior; 1.1 The causes of behavior; 1.2 A framework for models of behavior; 1.3 The structure of behavior models; 1.4 Neural network models; Chapter 2. Fundamentals of Neural Network Models; 2.1 Network nodes; 2.2 Network architectures; 2.3 Achieving specific input-output mappings; 2.4 Organizing networks without specific guidance; 2.5 Working with your own models; Chapter 3. Mechanisms of Behavior; 3.1 Analysis of behavior systems; 3.2 Building neural network models; 3.3 Reactions to stimuli; 3.4 Sensory processing.
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|a 3.5 Temporal patterns3.6 Many sources of information and messy information; 3.7 Central mechanisms of decision making; 3.8 Motor control; 3.9 Consequences of damage to nervous systems; Chapter 4. Learning and Ontogeny; 4.1 What are learning and ontogeny?; 4.2 General aspects of learning; 4.3 Network models of general learning phenomena; 4.4 Behaviorally silent learning; 4.5 Comparison with animal learning theory; 4.6 Training animals versus training networks; 4.7 Ontogeny; 4.8 Conclusions; Chapter 5. Evolution; 5.1 The evolution of behavior systems.
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|a 5.2 Requirements for evolving behavior mechanisms5.3 The material basis of behavioral evolution; 5.4 Exploring evolution with neural network models; 5.5 Conclusions; Chapter 6. Conclusions; 6.1 Are neural networks good models of behavior?; 6.2 Do we use too simple network models?; 6.3 Comparisons with other models; 6.4 Neural networks and animal cognition; 6.5 Final words; Bibliography; Index.
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|a 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 nervo.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Animal behavior
|x Computer simulation.
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650 |
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|a Neural networks.
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650 |
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|a Animal behavior
|x Computer simulation
|2 fast
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758 |
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|i has work:
|a Neural networks and animal behavior (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGRwWmqD6YPK8gc6YbHFjy
|4 https://id.oclc.org/worldcat/ontology/hasWork
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|i Print version:
|z 9781306154185
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830 |
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|a Monographs in behavior and ecology.
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856 |
4 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1538269
|z Texto completo
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|a ProQuest MyiLibrary Digital eBook Collection
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994 |
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