• DocumentCode
    2546576
  • Title

    Neuronal ion-channel dynamics in silicon

  • Author

    Hynna, Kai M. ; Boahen, Kwabena

  • Author_Institution
    Dept. of Bioeng., Pennsylvania Univ., Philadelphia, PA
  • fYear
    2006
  • fDate
    21-24 May 2006
  • Abstract
    We present a simple silicon circuit for modelling voltage-dependent ion channels found within neural cells, capturing both the gating particle´s sigmoidal activation (or inactivation) and the bell-shaped time constant. In its simplest form, our ion-channel analog consists of two MOS transistors and a unity-gain inverter. We present equations describing its nonlinear dynamics and measurements from a chip fabricated in a 0.25 mum CMOS process. The channel analog´s simplicity allows tens of thousands to be built on a single chip, facilitating the implementation of biologically realistic models of neural computation
  • Keywords
    CMOS logic circuits; MOSFET; logic gates; neural chips; silicon; 0.25 micron; CMOS process; MOS transistors; Si; bell-shaped time constant; gating particle; ion-channel analog; neural cells; neural computation; neuronal ion-channel dynamics; sigmoidal activation; unity-gain inverter; voltage-dependent ion channels; Biological system modeling; CMOS process; Circuits; Computational modeling; Inverters; MOSFETs; Nonlinear equations; Semiconductor device measurement; Silicon; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
  • Conference_Location
    Island of Kos
  • Print_ISBN
    0-7803-9389-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2006.1693409
  • Filename
    1693409