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Book
Brain computation as hierarchical abstraction
Authors: --- ---
ISBN: 9780262028615 0262028611 9780262323819 0262323818 1336183314 0262534126 0262323826 9780262534123 Year: 2015 Publisher: Cambridge, Massachusetts [Piscataqay, New Jersey] MIT Press IEEE Xplore

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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.


Book
Neural control engineering
Author:
ISBN: 1283834685 0262312085 0262015374 9780262312080 9781283834681 9780262015370 Year: 2012 Publisher: Cambridge, MA MIT Press

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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.


Periodical
International journal of distributed sensor networks
ISSN: 15501329 15501477 Year: 2005 Publisher: Philadelphia, PA Taylor and Francis


Periodical
Neural computation.
Author:
ISSN: 1530888X 08997667 Year: 1989 Publisher: Cambridge, Mass. : MIT Press,


Periodical
Neuroinformatics
Author:
ISSN: 15590089 15392791

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Keywords

Neuroinformatics --- Neurosciences. --- Neural Networks (Computer) --- Models, Neurological. --- Computer Simulation. --- Neuroinformatics. --- Health Sciences --- Information Technology --- Life Sciences --- Diagnostics --- Neurology --- Physiology --- General and Others --- Bioinformatics --- Computational Biosciences --- 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 --- Computerized Models --- In Silico --- Computer Models --- Models, Computer --- Computer Model --- Computer Simulations --- Computerized Model --- In Silicos --- Model, Computer --- Model, Computerized --- Models, Computerized --- Silico, In --- Silicos, In --- Simulation, Computer --- Simulations, Computer --- Neuroscience --- Neurosciences --- Medical informatics --- Data processing --- Models, Neurological --- Computer Simulation --- 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 --- Neural Networks, Computer.

Enchanted looms : conscious networks in brains and computers
Author:
ISBN: 0511004281 9780511004285 0521624355 Year: 1998 Publisher: Cambridge, [Eng.] ; New York : Cambridge University Press,

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Pattern recognition by self-organizing neural networks
Authors: ---
ISBN: 0262031760 0262526239 0262269899 0585038732 9780585038735 9780262269896 9780262031769 9780262526234 Year: 1991 Publisher: Cambridge, Mass. MIT

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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.

Keywords

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


Book
Neural nets in electric fish
Authors: ---
ISBN: 0262275201 0585356084 9780585356082 9780262275200 Year: 1991 Publisher: Cambridge, Mass. : MIT Press,

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Keywords

Electroreceptors. --- Jamming avoidance response (Electrophysiology) --- Neural circuitry. --- Eigenmannia --- Sensory Receptor Cells --- Fishes --- Neural Networks, Computer. --- Neural Receptors --- Receptors, Sensory --- Sensory Neurons --- Sensory Receptors --- Nerve Endings, Sensory --- Neurons, Sensory --- Neuroreceptors --- Receptors, Neural --- Nerve Ending, Sensory --- Neural Receptor --- Neuron, Sensory --- Neuroreceptor --- Receptor Cell, Sensory --- Receptor Cells, Sensory --- Receptor, Neural --- Receptor, Sensory --- Sensory Nerve Ending --- Sensory Nerve Endings --- Sensory Neuron --- Sensory Receptor --- Sensory Receptor Cell --- Neurons, Afferent --- Sense Organs --- Glass knifefishes --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Electrophysiology --- Nervous system --- Neural networks (Neurobiology) --- Reflexes --- JAR (Electrophysiology) --- Electrolocation (Physiology) --- Sensory receptors --- 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 --- Physiology. --- physiology.


Periodical
IEEE Transactions on Neural Systems and Rehabilitation Engineering

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Rehabilitation technology --- Biomedical engineering --- Medical electronics --- Rehabilitation. --- Biomedical Engineering. --- Electronics, Medical. --- Models, Neurological. --- Neural Networks, Computer. --- Self-Help Devices. --- Assistive Devices --- Assistive Technology --- Assistive Device --- Assistive Technologies --- Device, Assistive --- Device, Self-Help --- Devices, Assistive --- Devices, Self-Help --- Self Help Devices --- Self-Help Device --- Technologies, Assistive --- Technology, Assistive --- Disabled Persons --- Engineering, Biomedical --- Clinical Engineering --- Engineering, Clinical --- Biomedical Technology --- Habilitation --- Disease --- Recovery of Function --- Return to Work --- Sports for Persons with Disabilities --- 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 --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- Medical Electronics --- Biomedical Engineering --- Engineering, Rehabilitation --- Rehabilitation engineering --- Rehabilitative engineering --- Technology, Rehabilitation --- rehabilitation

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