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Brain-Machine Interface Engineering
Justin C. Sanchez, JosĂ© C. PrĂncipe
- English
- PDF
- Disponible sur iOS et Android
Brain-Machine Interface Engineering
Justin C. Sanchez, JosĂ© C. PrĂncipe
Ă propos de ce livre
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
Foire aux questions
Informations
Table des matiĂšres
- Cover
- Copyright Page
- Title Page
- Foreword
- Contents
- Chapter 1: Introduction to Neural Interfaces
- Chapter 2: Foundations of Neuronal Representations
- Chapter 3: InputâOutput BMI Models
- Chapter 4: Regularization Techniques for BMI Models
- Chapter 5: Neural Decoding Using Generative BMI Models
- Chapter 6: Adaptive Algorithms for Point Processes
- Chapter 7: BMI Systems
- Author Biography