• DocumentCode
    3403363
  • Title

    A programmable-gain VLSI circuit and system for sensing and stimulating action potentials of neuronal networks

  • Author

    Loloee, A. ; Gosney, W.M. ; Howard, L.L.

  • Author_Institution
    Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
  • fYear
    1996
  • fDate
    29-31 Mar 1996
  • Firstpage
    93
  • Lastpage
    96
  • Abstract
    An analog/digital VLSI chip and a 64-channel system using four of the chips for sensing and stimulating signals from live neuronal networks are described. Each chip has 16 analog channels, each having an instrumentation amplifier with a programmable gain of either 27, 50, or 60. In the system sense mode the action potentials from the network can be monitored and amplified on any or all selected channels. In the system stimulation mode up to four external stimulation signals can be routed to the network through any or all of the 16 channels. A 4×16 cross-point transmission-gate array connects the stimulation signals to the selected channels. The network response to the stimulation signals can be monitored at the output of selectable channels
  • Keywords
    bioelectric potentials; biological techniques; biomedical electronics; neural nets; neurophysiology; very high speed integrated circuits; voltage measurement; 64-channel system; action potentials sensing; action potentials stimulating; analog channels; analog/digital VLSI chip; cross-point transmission-gate array; external stimulation signals; live neuronal networks; programmable-gain VLSI circuit; selectable channels; Biological neural networks; Circuits and systems; Conductors; Decoding; Electrodes; Instruments; Monitoring; Neurons; Random access memory; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Conference, 1996., Proceedings of the 1996 Fifteenth Southern
  • Conference_Location
    Dayton, OH
  • Print_ISBN
    0-7803-3131-1
  • Type

    conf

  • DOI
    10.1109/SBEC.1996.493121
  • Filename
    493121