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Brain computation as hierarchical abstraction
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ISBN: 9780262028615 0262028611 9780262323819 0262323818 1336183314 0262534126 0262323826 9780262534123 Year: 2015 Publisher: Cambridge, Massachusetts : The MIT Press,

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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 : the emerging intersection between control theory and neuroscience
Author:
ISBN: 1283834685 0262312085 0262015374 9780262312080 9781283834681 9780262015370 Year: 2012 Publisher: Cambridge, MA London : 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.


Book
Connectionism and psychology : a psychological perspective on new connectionist research
Author:
ISBN: 0745008348 0745008356 9780745008356 Year: 1991 Publisher: New York London Toronto : Harvester Wheatsheaf,

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Keywords

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

Cognitive systems
Authors: --- ---
ISBN: 9780120885664 0120885662 9786610637867 1280637862 0080458262 9780080458267 9781280637865 Year: 2006 Publisher: San Diego, Calif. Elsevier Academic Press

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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.

Keywords

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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