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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.
List of contents
Introduction.-Neural Signal Conditioning Circuits.- Neural Signal Quantization Circuits.- Neural Signal ClassificationCircuits.- Brain-Machine Interface: System Optimization.- Conclusions and Recommendations.-Appendix.- Index.
About the author
Amir Zjajo received the M.Sc. and DIC degrees from the Imperial
College London, London, U.K., in 2000 and the PhD. degree from Eindhoven
University of Technology, Eindhoven, The Netherlands in 2010, all in electrical
engineering. In 2000, he joined Philips Research Laboratories as a member of
the research staff in the Mixed-Signal Circuits and Systems Group. From 2006
until 2009, he was with Corporate Research of NXP Semiconductors as a Senior Research
Scientist. In 2009, he joined Delft University of Technology as a faculty
member in Circuits and Systems group.
Dr. Zjajo has published more than 70 papers in referenced journals
and conference proceedings, and holds more than 10 US patents or patent
pending. He is the author of the books Low-Voltage High-Resolution A/D Converters: Design,Test
and Calibration (Springer,
2011, Chinese translation, China Machine Press, 2015), and Stochastic Process Variations
in Deep-Submicron CMOS: Circuits and Algorithms (Springer,2014). He serves as a
member of Technical Program Committee of IEEE Design, Automation and Test in
Europe Conference, IEEE International Symposium on Circuits and Systems, IEEE
International Symposium on VLSI, IEEE International Symposium on Nanoelectronic
and Information Systems, and IEEE International Conference on Embedded Computer
Systems.
His research interests include power-efficient mixed-signal
circuit and system design for health and mobile applications, and neuromorphic
electronic circuits for autonomous cognitive systems. Dr. Zjajo won the best
paper award at BIODEVICES 2015, and DATE 2012.
Summary
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.
