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Video s3
    Details
    Presenter(s)
    Nishith Chakraborty Headshot
    Affiliation
    Affiliation
    University of Tennessee, Knoxville
    Country
    Author(s)
    Affiliation
    Affiliation
    University of Tennessee, Knoxville
    Display Name
    Garrett S. Rose
    Affiliation
    Affiliation
    University of Tennessee
    Abstract

    In this paper, we design a mixed-signal Integrate-And-Fire (IAF) neuron with two approaches for the refractory period mechanism. The two approaches, one digital and one analog, have been designed to behave equivalently, except for the use of external programming signals. Neurons using both refractory blocks have been simulated using a 65nm CMOS process and their performances have been quantified in terms of area and power consumption. We find that although the analog refractory block can be made smaller than the digital counterpart by using a smaller capacitor, the digital block performs better in terms of power consumption and programming precision.

    Slides
    • Programmable Refractory Period Implementations in a Mixed-Signal Integrate-and-Fire Neuron (application/pdf)