• DocumentCode
    1645409
  • Title

    Analog Logic Automata

  • Author

    Chen, Kailiang ; Leu, Jonathan ; Gershenfeld, Neil

  • Author_Institution
    Center for Bits & Atoms, Massachusetts Inst. of Technol., Boston, MA
  • fYear
    2008
  • Firstpage
    189
  • Lastpage
    192
  • Abstract
    Analog logic circuits work on digital problems using an analog representation of the digital variables, relaxing the state space of the digital system from the vertices of a hypercube to the interior. This lets us gain speed, power, and accuracy over digital implementations. Logic automata are distributed, scalable and programmable digital computation media with local connections and logic operations. Here we propose analog logic automata (ALA), which relax binary constraints on logic automata states and introduce programmability into analog logic circuits. The localized interaction and scalability of the ALA provide a new way to do neuromorphic engineering, enabling systematic designs in a digital work flow. Low-power, biomedical, decoding and communication applications are described and a 3times3 ALA chip is prototyped, which works at 50 kHz, with a power consumption of 64 muW. With the chip configured as a programmable noise-locked loop (NLL), we obtain a bit error rate (BER) of 1E-7 at an SNR of -1.13 dB.
  • Keywords
    analogue circuits; error statistics; logic circuits; programmable circuits; BER; SNR; analog logic automata; analog logic circuits; bit error rate; digital work flow; frequency 50 kHz; neuromorphic engineering; power 64 muW; programmable noise-locked loop chip; Automata; Bit error rate; Digital systems; Distributed computing; Hypercubes; Logic circuits; Neuromorphic engineering; Power engineering computing; Scalability; State-space methods; Analog Logic; Logic Automata; Noise-Locked Loop; biomedical; image processing; low-power; programmable; wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference, 2008. BioCAS 2008. IEEE
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    978-1-4244-2878-6
  • Electronic_ISBN
    978-1-4244-2879-3
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2008.4696906
  • Filename
    4696906