• DocumentCode
    873547
  • Title

    Modeling the neuron-microtransducer junction: from extracellular to patch recording

  • Author

    Grattarola, Massimo ; Martinoia, Sergio

  • Author_Institution
    Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
  • Volume
    40
  • Issue
    1
  • fYear
    1993
  • Firstpage
    35
  • Lastpage
    41
  • Abstract
    A detailed characterization of the neuron-to-microtransducer junction, based on the equivalent electric-circuit approach, is provided. The recording of action potentials is then simulated with the general-purpose network-analysis program SPICE. Both noble-metal microelectrodes and insulated-gate FETs are considered. The responses of such devices are characterized as functions of several parameters, e.g. sealing impedance, density of ionic currents in the cell membrane, and spatial discontinuities of the adhesion process. It is shown that the various signal shapes reported in the literature can be reproduced and interpreted in terms of time derivatives of the action potential. In this way, the shape of any experimental signal can be interpreted on the basis of a specific sealing condition. Possible future improvements in microtransducer design, based on the proposed approach, are also suggested.
  • Keywords
    bioelectric potentials; biological techniques and instruments; cellular biophysics; equivalent circuits; neurophysiology; physiological models; SPICE; action potential time derivatives; adhesion process; cell membrane; equivalent electric-circuit approach; experimental signal shape; extracellular recording; general-purpose network-analysis program; insulated-gate FETs; ionic currents density; neural modeling; neuron-to-microtransducer junction; noble-metal microelectrodes; patch recording; sealing impedance; spatial discontinuities; Adhesives; Biomembranes; Cells (biology); Extracellular; FETs; Impedance; Insulation; Microelectrodes; SPICE; Shape; Action Potentials; Cell Adhesion; Computer Simulation; Electric Impedance; Electrodes, Implanted; Equipment Design; Evaluation Studies as Topic; Extracellular Space; Microelectrodes; Models, Neurological; Nerve Net; Signal Processing, Computer-Assisted; Software;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.204769
  • Filename
    204769