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Brain-machine interface = circuits a...

Zjajo, Amir.

Brain-machine interface = circuits and systems /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Brain-machine interface/ by Amir Zjajo.
Reminder of title:	circuits and systems /
Author:	Zjajo, Amir.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xx, 163 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Brain-computer interfaces. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-31541-6
ISBN:	9783319315416

Brain-machine interface = circuits and systems /
Zjajo, Amir.

Brain-machine interfacecircuits and systems /[electronic resource] :by Amir Zjajo. - Cham :Springer International Publishing :2016. - xx, 163 p. :ill., digital ;24 cm.

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.

ISBN: 9783319315416

Standard No.: 10.1007/978-3-319-31541-6doiSubjects--Topical Terms:

598251
Brain-computer interfaces.

LC Class. No.: TK7874

Dewey Class. No.: 621.3815

Brain-machine interface = circuits and systems /
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020 $a 9783319315416 $q (electronic bk.)
020 $a 9783319315409 $q (paper)
024 7 $a 10.1007/978-3-319-31541-6 $2 doi
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100 1 $a Zjajo, Amir. $3 782336
245 1 0 $a Brain-machine interface $h [electronic resource] : $b circuits and systems / $c by Amir Zjajo.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
300 $a xx, 163 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Neural Signal Conditioning Circuits -- Neural Signal Quantization Circuits -- Neural Signal Classification Circuits -- Brain-Machine Interface: System Optimization -- Conclusions and Recommendations -- Appendix -- Index.
520 $a 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.
650 0 $a Brain-computer interfaces. $3 598251
650 0 $a Signal processing $x Digital techniques. $3 556357
650 0 $a Neural circuitry. $3 581532
650 0 $a Analog CMOS integrated circuits. $3 1062812
650 1 4 $a Engineering. $3 561152
650 2 4 $a Circuits and Systems. $3 670901
650 2 4 $a Biomedical Engineering. $3 588771
650 2 4 $a Biomedical Engineering/Biotechnology. $3 1068811
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-31541-6
950 $a Engineering (Springer-11647)

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