• DocumentCode
    288624
  • Title

    Programmable dynamics in an analog VLSI neuromorph

  • Author

    Elias, John G. ; Northmore, David P M

  • Author_Institution
    Electr. Eng. & Neurosci. Program, Delaware Univ., Newark, DE, USA
  • Volume
    4
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    2028
  • Abstract
    The architecture of an analog VLSI neuromorph which can receive and process large numbers of pulsatile inputs via a spatially extensive artificial dendritic tree is described. The artificial dendritic tree is a hybrid VLSI circuit which has distributed over its length synapses of three types: hyperpolarizing, depolarizing, and shunting. Because of the distributed nature of the circuit and its natural dynamics, input signals are segregated both spatially and temporally. In addition, neuromorph dynamics is programmable over a wide range which permits one to match neuromorph dynamical response with application dynamics. Experimental results are presented that show “membrane” response of a directionally selective neuromorph preserved over four orders of magnitude in target speed as neuromorph dynamics is correspondingly changed
  • Keywords
    VLSI; analogue processing circuits; neural chips; analog VLSI neuromorph; depolarizing; hybrid VLSI circuit; hyperpolarizing; neuromorph dynamics; programmable dynamics; pulsatile inputs; shunting; spatially extensive artificial dendritic tree; Biomembranes; Capacitance; Circuits; Delay; MOS capacitors; Neuroscience; Resistors; Silicon; Very large scale integration; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374525
  • Filename
    374525