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Video s3
    Details
    Presenter(s)
    Mahsasadat Seyedbarhagh Headshot
    Affiliation
    Affiliation
    University of Windsor
    Country
    Country
    Canada
    Author(s)
    Affiliation
    Affiliation
    University of Windsor
    Display Name
    Narjes Zamani
    Affiliation
    Affiliation
    University of Windsor
    Display Name
    Arash Ahmadi
    Affiliation
    Affiliation
    University of Windsor
    Display Name
    Majid Adhmadi
    Affiliation
    Affiliation
    University of Windsor
    Abstract

    The field of neuromorphic engineering is a multidisciplinary research topic which incorporates the knowledge of Neuroscience, physics, biology, and electronic engineering in order to replicate the neurological patterns of human brain. This paper presents a digital design based on CORDIC algorithm for a biologically inspired neuron model called Conductance-Based Adaptive Exponential Integrate-and-Fire (CAdEx) neuron model which is recently proposed by Gorski. The low-cost hardware implementation for the proposed model is capable of reproducing the same spiking activity of the original biological model. The modified digital architecture has been physically implemented on field programmable gate arrays. A maximum frequency of 129 MHz is obtained for the modified design.

    Slides
    • Digital Realization of Conductance-Based Adaptive Exponential Integrate-and-Fire Neuron Model (application/pdf)