• DocumentCode
    651472
  • Title

    Implementation of a neuromorphic vestibular sensor with analog VLSI neurons

  • Author

    Passetti, Giovanni ; Corradi, Federico ; Raglianti, Marco ; Zambrano, Davide ; Laschi, Cecilia ; Indiveri, Giacomo

  • Author_Institution
    BioRobotics Inst., Scuola Superiore Sant´Anna, Pisa, Italy
  • fYear
    2013
  • fDate
    Oct. 31 2013-Nov. 2 2013
  • Firstpage
    174
  • Lastpage
    177
  • Abstract
    This work aims at implementing an event driven neuromorphic vestibular sensor using a commercial Inertial Measurement Unit (IMU) and a custom analog VLSI neuromorphic chip. We investigate a model of the vestibular sensor that emulates the spiking responses of hair cells in the semicircular canals. We calibrate the neuromorphic chip to match the parameters of a neuroscientific computational model. Experimental results validating the hardware implementation and the calibration procedure are presented.
  • Keywords
    VLSI; biomimetics; calibration; cellular biophysics; ear; neurophysiology; physiological models; prosthetics; analog VLSI neuron; commercial inertial measurement unit; custom analog VLSI neuromorphic chip; event driven neuromorphic vestibular sensor; hair cell spiking response; neuromorphic chip calibration; neuromorphic vestibular sensor implementation; neuroscientific computational model; parameter matching; semicircular canal; vestibular sensor model; Calibration; Hardware; Mathematical model; Neuromorphics; Neurons; Robot sensing systems; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
  • Conference_Location
    Rotterdam
  • Type

    conf

  • DOI
    10.1109/BioCAS.2013.6679667
  • Filename
    6679667