TY - JOUR
T1 - Low-power circuits for brain-machine interfaces
AU - Sarpeshkar, Rahul
AU - Wattanapanitch, Woradorn
AU - Rapoport, Benjamin I.
AU - Arfin, Scott K.
AU - Baker, Michael W.
AU - Mandal, Soumyajit
AU - Fee, Michale S.
AU - Musallam, Sam
AU - Andersen, Richard A.
PY - 2007
Y1 - 2007
N2 - This paper presents work on ultra-low-power circuits for brain-machine interfaces with applications for paralysis prosthetics, 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; radio-frequency (RF) impedance modulation for low-power data telemetry; a wireless link for efficient power transfer; mixed-signal system integration for efficiency, robustness, and programmability; and circuits for wireless stimulation of neurons. Experimental results from chips that have recorded from and stimulated neurons in the zebra-finch brain and from RF power-link systems are presented. Circuit simulations that have successfully processed prerecorded data from a monkey brain and from an RF data telemetry system are also presented.
AB - This paper presents work on ultra-low-power circuits for brain-machine interfaces with applications for paralysis prosthetics, 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; radio-frequency (RF) impedance modulation for low-power data telemetry; a wireless link for efficient power transfer; mixed-signal system integration for efficiency, robustness, and programmability; and circuits for wireless stimulation of neurons. Experimental results from chips that have recorded from and stimulated neurons in the zebra-finch brain and from RF power-link systems are presented. Circuit simulations that have successfully processed prerecorded data from a monkey brain and from an RF data telemetry system are also presented.
UR - https://www.scopus.com/pages/publications/34548839147
U2 - 10.1109/iscas.2007.378505
DO - 10.1109/iscas.2007.378505
M3 - Conference article
AN - SCOPUS:34548839147
SN - 0271-4310
SP - 2068
EP - 2071
JO - Proceedings - IEEE International Symposium on Circuits and Systems
JF - Proceedings - IEEE International Symposium on Circuits and Systems
M1 - 4253076
T2 - 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
Y2 - 27 May 2007 through 30 May 2007
ER -