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Neural networks (Computer science) --- Neurale netwerken (Informatica) --- Réseaux neuraux (Informatique) --- Neural Networks (Computer) --- 681.3*I2 --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Artificial intelligence. AI --- Neural Networks (Computer). --- 681.3*I2 Artificial intelligence. AI --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational
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Computer vision --- Neural networks (Computer science) --- Vision par ordinateur --- Réseaux neuronaux (Informatique) --- Neural Networks (Computer) --- #KVIV:BB --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Machine vision --- Vision, Computer --- Image processing --- Pattern recognition systems --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Computer vision. --- Neural networks (Computer science). --- Réseaux neuronaux (Informatique)
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NEURAL NETWORKS (COMPUTER) --- Neural Networks (Computer) --- 536.75 --- #KVIV:BB --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Entropy. Statistical thermodynamics. Irreversible processes --- 536.75 Entropy. Statistical thermodynamics. Irreversible processes --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational
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The vast differences between the brain's neural circuitry and a computer's silicon circuitry might suggest that they have nothing in common. In fact, as Dana Ballard argues in this book, computational tools are essential for understanding brain function. Ballard shows that the hierarchical organisation of the brain has many parallels with the hierarchical organisation of computing; as in silicon computing, the complexities of brain computation can be dramatically simplified when its computation is factored into different levels of abstraction.
Computational neuroscience. --- Neurobiology. --- Brain --- Mental Processes --- Neurons --- Nerve Net --- Neural Networks (Computer) --- Models, Neurological. --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Neurosciences --- Computational neurosciences --- Computational biology --- physiology. --- Physiology. --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational --- NEUROSCIENCE/General --- Computational neuroscience --- Neurobiology --- Models, Neurological --- physiology
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How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications.Over the past sixty years, powerful methods of model-based control engineering have been responsible for such dramatic advances in engineering systems as autolanding aircraft, autonomous vehicles, and even weather forecasting. Over those same decades, our models of the nervous system have evolved from single-cell membranes to neuronal networks to large-scale models of the human brain. Yet until recently control theory was completely inapplicable to the types of nonlinear models being developed in neuroscience. The revolution in nonlinear control engineering in the late 1990s has made the intersection of control theory and neuroscience possible. In Neural Control Engineering, Steven Schiff seeks to bridge the two fields, examining the application of new methods in nonlinear control engineering to neuroscience. After presenting extensive material on formulating computational neuroscience models in a control environment--including some fundamentals of the algorithms helpful in crossing the divide from intuition to effective application--Schiff examines a range of applications, including brain-machine interfaces and neural stimulation. He reports on research that he and his colleagues have undertaken showing that nonlinear control theory methods can be applied to models of single cells, small neuronal networks, and large-scale networks in disease states of Parkinson's disease and epilepsy. With Neural Control Engineering the reader acquires a working knowledge of the fundamentals of control theory and computational neuroscience sufficient not only to understand the literature in this trandisciplinary area but also to begin working to advance the field. The book will serve as an essential guide for scientists in either biology or engineering and for physicians who wish to gain expertise in these areas.
Computational neuroscience. --- Nonlinear control theory. --- Neural Networks (Computer) --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Computational neurosciences --- Control theory --- Nonlinear theories --- Computational biology --- Neurosciences --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational --- NEUROSCIENCE/General
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Psycholinguistics --- Artificial intelligence. Robotics. Simulation. Graphics --- Connectionism --- Cognition --- Connexionnisme --- Cognition. --- Neural Networks (Computer) --- Psychology. --- Factors, Psychological --- Psychological Factors --- Psychological Side Effects --- Psychologists --- Psychosocial Factors --- Side Effects, Psychological --- Factor, Psychological --- Factor, Psychosocial --- Factors, Psychosocial --- Psychological Factor --- Psychological Side Effect --- Psychologist --- Psychosocial Factor --- Side Effect, Psychological --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Cognitive Function --- Cognitions --- Cognitive Functions --- Function, Cognitive --- Functions, Cognitive --- Experimentele psychologie --- Connectionism. --- NEURAL NETWORKS (COMPUTER) --- Psychology --- denken, begripsvorming en problem solving --- handboeken en inleidingen --- NEURAL NETWORKS (COMPUTER). --- denken, begripsvorming en problem solving. --- handboeken en inleidingen. --- Neural networks (computer). --- Denken, begripsvorming en problem solving. --- Handboeken en inleidingen. --- Connexionism --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational
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This book presents an overview of the exciting, truly multidisciplinary research by neuroscientists and systems engineers in the emerging field of cognitive systems, providing a cross-disciplinary examination of this cutting-edge area of scientific research. This is a great example of where research in very different disciplines touches to create a new emerging area of research. The book illustrates some of the technical developments that could arise from our growing understanding of how living cognitive systems behave, and the ability to use that knowledge in the design of artificial systems.
Cognitive science. --- Neural networks (Computer science) --- Neural networks (Neurobiology) --- Sciences cognitives --- Réseaux neuronaux (Informatique) --- Réseaux neuronaux (Neurobiologie) --- Réseaux neuronaux (Informatique) --- Réseaux neuronaux (Neurobiologie) --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- Artificial intelligence --- Natural computation --- Soft computing --- Science --- Philosophy of mind --- Cognitive science --- Cognitive Science --- Neural Networks (Computer) --- Nervous System --- E-books --- Nervous Systems --- System, Nervous --- Systems, Nervous --- Computational Neural Networks --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Computational Neural --- Network, Computer Neural --- Network, Neural (Computer) --- Networks, Computational Neural --- Networks, Computer Neural --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational --- Perceptron --- Cognitive Sciences --- Science, Cognitive --- Sciences, Cognitive
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Neural Networks (Computer) --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Artificial intelligence --- Cognition --- Connectionism --- Connexionism --- Psychology --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial intelligence. --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational
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Neural networks (Computer science) --- Neural networks (Neurobiology) --- Nerve Net --- Neural Networks, Computer. --- Computational Neural Networks --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Neural Networks (Computer) --- Perceptrons --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Computational Neural --- Network, Computer Neural --- Network, Neural (Computer) --- Networks, Computational Neural --- Networks, Computer Neural --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational --- Perceptron --- Neural Networks (Anatomic) --- Nerve Nets --- Net, Nerve --- Nets, Nerve --- Network, Neural (Anatomic) --- Networks, Neural (Anatomic) --- Neural Network (Anatomic) --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Nerve Net.
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Pattern Recognition by Self-Organizing Neural Networks presents the most recent advances in an area of research that is becoming vitally important in the fields of cognitive science, neuroscience, artificial intelligence, and neural networks in general.
Artificial intelligence. Robotics. Simulation. Graphics --- Computer architecture. Operating systems --- Pattern recognition systems. --- Neural networks (Computer science) --- Pattern recognition systems --- Neural Networks (Computer) --- Pattern Recognition, Automated --- Artificial Intelligence --- Information Science --- Mathematical Concepts --- Phenomena and Processes --- Computing Methodologies --- Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Neural networks (Computer science). --- High Performance Computing --- Methodologies, Computing --- Computing Methodology --- Computing, High Performance --- Methodology, Computing --- Performance Computing, High --- Concept, Mathematical --- Concepts, Mathematical --- Mathematical Concept --- Information Sciences --- Science, Information --- Sciences, Information --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Automated Pattern Recognition --- Pattern Recognition System --- Pattern Recognition Systems --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Pattern classification systems --- Pattern recognition computers --- Heuristics --- Artificial intelligence --- Natural computation --- Soft computing --- Pattern perception --- Computer vision --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational
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