• DocumentCode
    2817032
  • Title

    Ultra energy efficient systems in biology, engineering, and medicine

  • Author

    Sarpeshkar, Rahul

  • Author_Institution
    Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2013
  • fDate
    28-29 Oct. 2013
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary form only given. Nature is a great analog and digital circuit designer. She has innovated circuits in the biochemical, biomechanical, and bioelectronic domains that operate robustly with highly noisy and imprecise parts and with incredibly low levels of energy. Her impressive accomplishment is largely due to the fact that she uses both analog (graded) and digital (all-or-none) circuits within her cells to sense, actuate, compute, and communicate [1]. Analog and bio-inspired approaches that mimic nature can also create ultra-energy-efficient systems: For example, we show how neural prosthetics of the future such as brain-machine interfaces for the paralyzed can be made so energy efficient [1] that they can be powered from a novel glucose fuel cell that harvests energy from bodily fluids [2]. I also discuss how a positive-feedback loop between analog circuits and cell biology may enable similar synergistic improvements in synthetic and systems biology.
  • Keywords
    analogue circuits; biology; biomedical electronics; digital circuits; energy conservation; network synthesis; analog circuit designer; biochemical domains; bioelectronic domains; bioinspired approaches; biomechanical domains; body fluids; brain-machine interfaces; cell biology; digital circuit designer; energy harvesting; engineering; glucose fuel cell; medicine; neural prosthetics; positive-feedback loop; systems biology; ultra energy efficient systems; Analog circuits; Biological cells; Energy efficiency; Fuel cells; Noise measurement; Sugar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Efficient Electronic Systems (E3S), 2013 Third Berkeley Symposium on
  • Conference_Location
    Berkeley, CA
  • Type

    conf

  • DOI
    10.1109/E3S.2013.6705873
  • Filename
    6705873