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Edité par Springer International Publishing AG, Cham, 2007
ISBN 10 : 3031004930 ISBN 13 : 9783031004933
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for determining neural representation, modeling in motor systems, computing with neural spikes, and hardware implementation of neural interfaces. Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs. Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using GenerativeBMI Models / Adaptive Algorithms for Point Processes / BMI Systems Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using GenerativeBMI Models / Adaptive Algorithms for Point Processes / BMI Systems Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Edité par Springer International Publishing AG, CH, 2007
ISBN 10 : 3031004930 ISBN 13 : 9783031004933
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Ajouter au panierPaperback. Etat : New. 1°. Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for determining neural representation, modeling in motor systems, computing with neural spikes, and hardware implementation of neural interfaces. Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs. Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using GenerativeBMI Models / Adaptive Algorithms for Point Processes / BMI Systems.
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Edité par Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2007
ISBN 10 : 3031004930 ISBN 13 : 9783031004933
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Edité par Springer International Publishing AG, Cham, 2007
ISBN 10 : 3031004930 ISBN 13 : 9783031004933
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Ajouter au panierPaperback. Etat : new. Paperback. Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for determining neural representation, modeling in motor systems, computing with neural spikes, and hardware implementation of neural interfaces. Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs. Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using GenerativeBMI Models / Adaptive Algorithms for Point Processes / BMI Systems Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using GenerativeBMI Models / Adaptive Algorithms for Point Processes / BMI Systems Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Springer International Publishing AG, CH, 2007
ISBN 10 : 3031004930 ISBN 13 : 9783031004933
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Ajouter au panierPaperback. Etat : New. 1°. Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for determining neural representation, modeling in motor systems, computing with neural spikes, and hardware implementation of neural interfaces. Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs. Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using GenerativeBMI Models / Adaptive Algorithms for Point Processes / BMI Systems.
Edité par Morgan and Claypool Publishers, 2006
ISBN 10 : 1598290347 ISBN 13 : 9781598290349
Langue: anglais
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Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Justin C. Sanchez is a neurotechnologist, neuroscientist, and neural engineer. He has served as a program manager at DARPA and before that was an associate professor of biomedical engineering and neuroscience at the University of Miami, .