• DocumentCode
    2377320
  • Title

    An analog circuit implementation of a quadratic integrate and fire neuron

  • Author

    Basham, Eric J. ; Parent, David W.

  • Author_Institution
    Univ. of California Santa Cruz, Santa Cruz, CA, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    741
  • Lastpage
    744
  • Abstract
    Silicon neurons are of importance both to implement hybrid electronic-biological system as well as to develop fundamental understanding of the neurobiological systems they emulate. We have implemented a hardware version of the quadratic integrate and fire neural model. The quadratic integrate and fire neuron differs from the more common integrate and fire neuron in that the model, and thus the hardware, intrinsically generate spikes. Readily available discrete surface mount components are used to make the hardware available to a wider audience and facilitate experimentation.
  • Keywords
    analogue circuits; neural nets; silicon; surface mount technology; Si; Action Potentials; Biomimetic Materials; Computer Simulation; Electronics; Equipment Design; Equipment Failure Analysis; Humans; Models, Neurological; Neurons; Synaptic Transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5332655
  • Filename
    5332655