• DocumentCode
    3018890
  • Title

    A neuromorphic VLSI grid cell system

  • Author

    Massoud, Tarek M. ; Horiuchi, Timothy K.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Maryland, College Park, MD, USA
  • fYear
    2012
  • fDate
    20-23 May 2012
  • Firstpage
    2421
  • Lastpage
    2424
  • Abstract
    Neurons in the medial entorhinal cortex of rats have been found to respond in a two-dimensional hexagonal “grid” pattern anchored to the environment. “Grid cells” with different spatial frequencies are thought to contribute to the creation of unimodal “place” cell responses useful for spatial navigation. In this paper we present results from an analog VLSI circuit that generates a hexagonal grid of activity using continuous attractor dynamics and transmits this pattern via neuron-like spikes. This circuit is a component of a larger system for modeling the neural circuits underlying mammalian spatial navigation.
  • Keywords
    VLSI; analogue circuits; integrated circuit modelling; neural nets; analog VLSI circuit; continuous attractor dynamics; mammalian spatial navigation; medial entorhinal cortex; neural circuit modeling; neuromorphic VLSI grid cell system; neuron-like spike; rat; spatial frequency; two-dimensional hexagonal grid pattern; unimodal place cell response; Computer architecture; Kernel; Microprocessors; Neuromorphics; Threshold voltage; Transistors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
  • Conference_Location
    Seoul
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-0218-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2012.6271787
  • Filename
    6271787