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Brain-Machine Interface Engineering [Paperback]

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  • Category: Books (Technology & Engineering)
  • Author:  Sanchez, Justin C., Pr?ncipe, Jos? C.
  • Author:  Sanchez, Justin C., Pr?ncipe, Jos? C.
  • ISBN-10:  3031004930
  • ISBN-10:  3031004930
  • ISBN-13:  9783031004933
  • ISBN-13:  9783031004933
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2007
  • Pub Date:  01-Apr-2007
  • SKU:  3031004930-11-SPRI
  • SKU:  3031004930-11-SPRI
  • Pages:  234
  • Pages:  234
  • Item ID: 104526242
  • List Price: $44.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 15 to Oct 17
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
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 SystemsContents: Introduction to Neural Interfaces.- Foundations of Neuronal Representations.- Input-Outpur BMI Models.- Regularization Techniques for BMI Models.- Neural Decoding Using Generative BMI Models.- Adaptive Algorithms for Point Processes.- BMI Systems.Dr. Sanchezs research interests are in Neural Engineering and neural assistive technologies. Topics include the analysis of neural ensemble recordings, adaptive signal processing, Brain-Machine Interfaces, motor system electrophysiology, treatment of movement disorders, and the neurophysiology of epilepsy. He is an Assistant Pro[1]fessor of Pediatrics, Neuroscience, and Biomedical Engineering at the University of Florida College of Medicine, Engineering, and Mc?Knight Brain Institute in Gainesville, Florida. He received his Ph.D. (2004) and M.E. degrees in Biomedical Engineering and B.S. degree in Engineering Science (Highest Honors2000) with a minor in Biomechanics lÓ]
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