@ARTICLE{4660340,
author={Sarpeshkar, R. and Wattanapanitch, W. and Arfin, S. K. and Rapoport, B. I. and Mandal, S. and Baker, M. W. and Fee, M. S. and Musallam, S. and Andersen, R. A.},
journal={Biomedical Circuits and Systems, IEEE Transactions on}, title={Low-Power Circuits for Brain #x2013;Machine Interfaces},
year={2008},
month={sept. },
volume={2},
number={3},
pages={173 -183},
abstract={ This paper presents work on ultra-low-power circuits for brain #x2013;machine interfaces with applications for paralysis prosthetics, stroke, Parkinson's disease, epilepsy, prosthetics for the blind, and experimental neuroscience systems. The circuits include a micropower neural amplifier with adaptive power biasing for use in multi-electrode arrays; an analog linear decoding and learning architecture for data compression; low-power radio-frequency (RF) impedance-modulation circuits for data telemetry that minimize power consumption of implanted systems in the body; a wireless link for efficient power transfer; mixed-signal system integration for efficiency, robustness, and programmability; and circuits for wireless stimulation of neurons with power-conserving sleep modes and awake modes. Experimental results from chips that have stimulated and recorded from neurons in the zebra finch brain and results from RF power-link, RF data-link, electrode-recording and electrode-stimulating systems are presented. Simulations of analog learning circuits that have successfully decoded prerecorded neural signals from a monkey brain are also presented. },
keywords={},
doi={10.1109/TBCAS.2008.2003198},
ISSN={1932-4545},
URL = {http://npl.mcgill.ca/Papers/Low-Power Circuits for Brain-Machine Interfaces.pdf},
}

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","volume":"2","number":"3","pages":"173 -183","abstract":"This paper presents work on ultra-low-power circuits for brain #x2013;machine interfaces with applications for paralysis prosthetics, stroke, Parkinson's disease, epilepsy, prosthetics for the blind, and experimental neuroscience systems. The circuits include a micropower neural amplifier with adaptive power biasing for use in multi-electrode arrays; an analog linear decoding and learning architecture for data compression; low-power radio-frequency (RF) impedance-modulation circuits for data telemetry that minimize power consumption of implanted systems in the body; a wireless link for efficient power transfer; mixed-signal system integration for efficiency, robustness, and programmability; and circuits for wireless stimulation of neurons with power-conserving sleep modes and awake modes. 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