• DocumentCode
    3016712
  • Title

    A conductance-based neuronal network in VLSI for studying the CPR circuit of the crayfish

  • Author

    Chen, Chien-Hsuan ; Wu, Hsiang-Chiu ; Chen, Hsin

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    20-23 May 2012
  • Firstpage
    2051
  • Lastpage
    2054
  • Abstract
    This paper presents a conductance-based neuronal network in VLSI suitable for studying the caudal photoreceptor (CPR) neuron circuits in the crayfish. By the nullcline approach, the neuron circuit with type-I excitability is designed. The synapse circuit further shares the same schematics with the circuit of ion currents to reduce the design complexity. A full chip containing one CPR neuron, one hair neuron, one inter-neuron, and six synapses is designed with the standard 0.18μm CMOS technology. An analog memory array is also included to store the parameters of the system. By interconnecting two chips to form a complete CPR network of the crayfish, the ability to regenerate a variety of spiking patterns observed in the biological CPR network is examined and discussed.
  • Keywords
    CMOS integrated circuits; VLSI; electronic engineering computing; integrated circuit design; integrated circuit interconnections; neural nets; CPR neuron circuit; VLSI; analog memory array; biological CPR network; caudal photoreceptor neuron circuit; conductance-based neuronal network; crayfish; hair neuron; interneuron; ion current circuit; nullcline approach; spiking pattern; standard CMOS technology; synapse circuit design; type-I excitability design; Biological neural networks; Biological system modeling; Biomembranes; Mathematical model; Neurons; Silicon;
  • 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.2012.6271685
  • Filename
    6271685