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Brain-Machine Interface [electronic resource] : Circuits and Systems / by Amir Zjajo.

By: Contributor(s): Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XX, 163 p. 79 illus., 3 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319315416
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.3815 23
LOC classification:
  • TK7888.4
Online resources:
Contents:
Introduction -- Neural Signal Conditioning Circuits -- Neural Signal Quantization Circuits -- Neural Signal Classification Circuits -- Brain-Machine Interface: System Optimization -- Conclusions and Recommendations -- Appendix -- Index.
In: Springer eBooksSummary: This book provides a complete overview of significant design challenges in respect to circuit miniaturization and power reduction of the neural recording system, along with circuit topologies, architecture trends, and (post-silicon) circuit optimization algorithms. The introduced novel circuits for signal conditioning, quantization, and classification, as well as system configurations focus on optimized power-per-area performance, from the spatial resolution (i.e. number of channels), feasible wireless data bandwidth and information quality to the delivered power of implantable system.
Item type: eBooks
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Introduction -- Neural Signal Conditioning Circuits -- Neural Signal Quantization Circuits -- Neural Signal Classification Circuits -- Brain-Machine Interface: System Optimization -- Conclusions and Recommendations -- Appendix -- Index.

This book provides a complete overview of significant design challenges in respect to circuit miniaturization and power reduction of the neural recording system, along with circuit topologies, architecture trends, and (post-silicon) circuit optimization algorithms. The introduced novel circuits for signal conditioning, quantization, and classification, as well as system configurations focus on optimized power-per-area performance, from the spatial resolution (i.e. number of channels), feasible wireless data bandwidth and information quality to the delivered power of implantable system.

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