Brain-machine interface engineering / Justin C. Sanchez and José C. Principe
Tipo de material: TextoSeries Synthesis lectures on biomedical engineering ; 17Detalles de publicación: San Rafael : Morgan & Claypool, 2006 Descripción: IX, 234 p. : gráf. ; 24 cmISBN: 978-1-5982-9034-9Tema(s): Cerebro -- FisiologíaResumen: 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.Tipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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Monografías | 03. BIBLIOTECA INGENIERÍA PUERTO REAL | 681.3/SAN/bra (Navegar estantería(Abre debajo)) | Texto completo | Prestado | 31/01/2025 | 3743133081 |
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Bibliografía
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.
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