Low-power circuits for brain-machine interfaces

  • Rahul Sarpeshkar
  • , Woradorn Wattanapanitch
  • , Benjamin I. Rapoport
  • , Scott K. Arfin
  • , Michael W. Baker
  • , Soumyajit Mandal
  • , Michale S. Fee
  • , Sam Musallam
  • , Richard A. Andersen

Research output: Contribution to journalConference articlepeer-review

24 Scopus citations

Abstract

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.

Original languageEnglish
Article number4253076
Pages (from-to)2068-2071
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States
Duration: 27 May 200730 May 2007

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