• DocumentCode
    3373191
  • Title

    A programmable array of silicon neurons for the control of legged locomotion

  • Author

    Tenore, Francesco ; Etienne-Cummings, Ralph ; Lewis, M. Anthony

  • Author_Institution
    Dept. of Electr. & Comput. Eng., John Hopkins Univ., Baltimore, MD, USA
  • Volume
    5
  • fYear
    2004
  • fDate
    23-26 May 2004
  • Abstract
    The biological foundation of most natural locomotory systems is the central pattern generator (CPG). The CPG is a set of neural circuits found in the spinal cord, arranged to produce oscillatory periodic waveforms that activate muscles in a coordinated manner. A 2nd generation VLSI CPG emulator chip - with more and improved neurons, enhanced flexibility, and a higher degree of programmability - has been developed to synchronize oscillators with different frequencies and phases, also produced by the chip, through the coupling of integrate-and-fire (IF) silicon neurons. These oscillators are then used to control the movement of robot´s limbs by using the IF neurons to set a specific phase difference between the oscillators. The chip´s architecture is examined in detail, and the construction and implementation of the artificial neural networks that produce the waveforms required for locomotion is described.
  • Keywords
    CMOS integrated circuits; VLSI; legged locomotion; motion control; neural chips; programmable circuits; programmable logic arrays; silicon; IF neurons; VLSI CPG emulator chip; artificial neural networks; central pattern generator; chip architecture; legged locomotion; muscles; natural locomotory systems; neural circuits; oscillators synchronization; oscillatory periodic waveforms; programmable silicon neuron array; robot limbs; silicon neurons coupling; spinal cord; Circuits; Frequency synchronization; Legged locomotion; Muscles; Neurons; Oscillators; Robot kinematics; Silicon; Spinal cord; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
  • Print_ISBN
    0-7803-8251-X
  • Type

    conf

  • DOI
    10.1109/ISCAS.2004.1329534
  • Filename
    1329534