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Visualization Implementation of a Parallelized Research Platform for Spiking Neural Network Study

Published: 05 July 2019 Publication History

Abstract

Artificial intelligence has become one of the most popular research fields, and has been widely used in intelligent control, pattern recognition, computer vision, speech recognition, signal processing and other fields and achieved great success. Artificial neural network is the most widely used and successful technology in artificial intelligence field, which cannot be separated from the support and promotion of many open source frameworks. As the third generation of artificial neural network, spiking neural network is more suitable for the simulation of biological neural network than the traditional neural network, so it is also expected in the field of artificial intelligence. The lack of an efficient simulation platform is limiting the progress of research on impulsive neural networks. In this paper, we present our effort at constructing a visualized parallelized research platform for spiking neural network study.

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  1. Visualization Implementation of a Parallelized Research Platform for Spiking Neural Network Study

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    cover image ACM Other conferences
    ICDLT '19: Proceedings of the 2019 3rd International Conference on Deep Learning Technologies
    July 2019
    106 pages
    ISBN:9781450371605
    DOI:10.1145/3342999
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • Nanyang Technological University
    • Chongqing University of Posts and Telecommunications

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 July 2019

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    Author Tags

    1. Artificial intelligence
    2. Parallelized simulating
    3. Spiking neural network
    4. Visualization

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    • Refereed limited

    Funding Sources

    • National Natural Science Foundation of China

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    ICDLT 2019

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