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Video s3
    Details
    Presenter(s)
    Xiangao Qi Headshot
    Display Name
    Xiangao Qi
    Affiliation
    Affiliation
    Shanghai Jiao Tong University
    Country
    Country
    China
    Author(s)
    Display Name
    Xiangao Qi
    Affiliation
    Affiliation
    Shanghai Jiao Tong University
    Display Name
    Jian Zhao
    Affiliation
    Affiliation
    Shanghai Jiao Tong University
    Display Name
    Guoxing Wang
    Affiliation
    Affiliation
    Shanghai Jiao Tong University
    Display Name
    Kea-Tiong Tang
    Affiliation
    Affiliation
    National Tsing Hua University
    Display Name
    Yongfu Li
    Affiliation
    Affiliation
    Shanghai Jiao Tong University
    Abstract

    The implementation of a power-efficient neuron array system with high throughput and controllable mismatch plays an important role in power-sensitive applications and brain simulations. This paper presents an array of 48 Integrate-and-Fire neurons with axon-sharing architecture implemented in 55-nm CMOS technology. The combination of log-domain circuits and comparator sharing in neuron design achieves the integration of 3125 neurons/mm2 and power consumption of 5.3 pJ/spike. The proposed time modulated axon-sharing synapse architecture realizes 5500 events/s/neuron unit throughput. A novel background calibration module is integrated to reduce the mismatch between neurons. Simulations present a 51.7% improvement in the CV of interspike interval. Finally, we validate the architecture by implementing a spiking neural network for solving a 3-stage Sudoku Puzzle. 100% success rate is obtained after calibration.

    Slides
    • A CMOS Axon-Sharing Neuron Array with Background Calibration (application/pdf)