• DocumentCode
    3659515
  • Title

    Low power analog VLSI implementation of cortical neuron with threshold modulation

  • Author

    Ethoti Radhika;Sanjeev Kumar;Anita Kumari

  • Author_Institution
    School of Electronics and Communication Engineering, Lovely Professional University, India
  • fYear
    2015
  • Firstpage
    561
  • Lastpage
    566
  • Abstract
    Neuron is the basic entity that transmits and process information through generated action potential or spikes in neuromorphic systems. In real scenario there is no fixed threshold in the cortical neuron but it varies for every neuron. In this work, the neuron with threshold modulation capability is implemented in analog VLSI using CMOS technology. The proposed neuron circuit generated time varying threshold voltage that applies to neuron input. The circuit is capable of generating a variety of different spiking patterns with diversity similar to that of real biological neuron cell. The paper describes how threshold modulation is achieved besides operation of the circuit. Simulation results of different patterns are presented along with threshold modulation to the circuit as well as power analysis for each pattern. The circuit is implemented in 0.18μm technology in Cadence Design Environment. The neuron circuit is efficient to be used in microcircuits as it consumes low power.
  • Keywords
    "Neurons","Transistors","Electric potential","Integrated circuit modeling","Threshold voltage","Modulation","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
  • Print_ISBN
    978-1-4799-8790-0
  • Type

    conf

  • DOI
    10.1109/ICACCI.2015.7275668
  • Filename
    7275668