Leseprobe
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Neural Networks and Animal Behavior
Stefano Ghirlanda, Magnus Enquist
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Naturwissenschaften, Medizin, Informatik, Technik / Zoologie
Beschreibung
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.
Kundenbewertungen
Multilayer perceptron, Domestication, Sensory processing, Magnetic field, Expression (computer science), Mental representation, Neurosecretion, Artificial neural network, Learning, Animal Behaviour (journal), Instance (computer science), Cognitive model, Regulation of gene expression, Ethology, Behavior model, Evolution of nervous systems, Neural development, Network model, Signal (electrical engineering), Neuroethology, Neuroscience, Ontogeny, Neurophysiology, Biological system, Processing (programming language), Model organism, Instruction set, Sensory preconditioning, Neuron, Psychology, The Computational Brain, Biological neural network, Evolutionary game theory, Motor neuron, Conceptualization (information science), Control theory, Mammal, Natural selection, Behavioral modeling, Membrane potential, Social evolution, Stimulus control, Electrical Synapses, Trait theory, Explore Evolution, Behavioral ecology, Decision tree, Animal training, Behavioral neuroscience, Animal communication, Behavior, Motor system, Cognitive psychology, Synapsis, Behaviorism, Evolution, Learning rule, Motor learning, Network theory, Neural pathway, Evolutionary dynamics, Stimulus (physiology), Animal testing, Decision-making, Modes of reproduction, Synaptic plasticity, Animal cognition, Imprinting (psychology), Motor control, Cognitive science