Zjajo, Amir. <br/><br/>
Brain-Machine Interface  Circuits and Systems /  [electronic resource] : 
by Amir Zjajo. 
 - 1st ed. 2016. 
 - XX, 163 p. 79 illus., 3 illus. in color.  online resource. 
<br/><br/>Introduction -- Neural Signal Conditioning Circuits -- Neural Signal Quantization Circuits -- Neural Signal Classification Circuits -- Brain-Machine Interface: System Optimization -- Conclusions and Recommendations -- Appendix -- Index. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319315416 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-31541-6  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Electronic circuits.<br/>Biomedical engineering.<br/>Biotechnology.<br/>Electronic Circuits and Systems.<br/>Biomedical Engineering and Bioengineering.<br/>Biotechnology.
<br/><br/><label>LC Class. No.: </label>TK7867-7867.5 
<br/><br/><label>Dewey Class. No.: </label>621.3815