• DocumentCode
    2026515
  • Title

    Modeling and simulation of a NEUOROBIOFET for application in neurology

  • Author

    Deka, Rashmi ; Dutta, Jiten Ch

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Tezpur Univ., Tezpur, India
  • fYear
    2015
  • fDate
    29-30 Jan. 2015
  • Firstpage
    100
  • Lastpage
    104
  • Abstract
    Acetylcholine sensitive field effect transistor (AchFET) has been modeled and simulated to use as circuit element in a neuron circuit. AchFET has been modeled using enzyme kinetics and site binding theory. Based on the simulated characteristics, it is used as an analog of variable conductance in the Hodgkin-Huxley electrical model of neuron that was used to study the resistance and capacitance properties of a patch of squid axon membrane. PSPICE simulation of the circuit using AchFET gives satisfactory reproduction of sodium and potassium currents and simulated electronic action potential is very similar to the experimentally recorded one. Due to the simplicity of this circuit, it may be used as an ideal unit in neurology to study the receptor function and electrical activity of neuron.
  • Keywords
    SPICE; bioelectric potentials; biomedical electronics; biomedical equipment; biomembrane transport; capacitance; electrical conductivity; electrical resistivity; enzymes; ion sensitive field effect transistors; molecular biophysics; neurophysiology; semiconductor device models; NEUROBIOFET; PSPICE simulation; acetylcholine sensitive field effect transistor; capacitance properties; circuit element; enzyme kinetics; neurology; neuron Hodgkin-Huxley electrical model; neuron circuit; neuron electrical activity; potassium current; receptor function; resistance properties; site binding theory; sodium current; squid axon membrane; Biomembranes; Capacitance; Electric potential; Integrated circuit modeling; Nerve fibers; SPICE; AchFET; Axon; Hodgkin-Huxley model; Neuron; Receptor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Design, Computer Networks & Automated Verification (EDCAV), 2015 International Conference on
  • Conference_Location
    Shillong
  • Print_ISBN
    978-1-4799-6207-5
  • Type

    conf

  • DOI
    10.1109/EDCAV.2015.7060547
  • Filename
    7060547