Spiking neural network-based auto-associative memory using FPGA interconnect delays

Chong H. Ang, Craig Jin, Philip H. W. Leong, Andre van Schaik

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    7 Citations (Scopus)

    Abstract

    ![CDATA[This paper describes the design of an auto-associative memory based on a spiking neural network (SNN). The architecture is able to effectively utilize the massive interconnect resources available in FPGA architectures as a good match to the axons in biological neural networks. A complete implementation of the memory on a single FPGA is presented. The signal processing circuitry is composed from simple, parallel building blocks and the training logic is implemented using an on-chip soft processor.]]
    Original languageEnglish
    Title of host publicationProceedings of the 2011 International Conference on Field-Programmable Technology (FPT 2011), New Delhi, India, 12-14 December 2011
    PublisherIEEE
    Pages222-225
    Number of pages4
    ISBN (Print)9781457717413
    DOIs
    Publication statusPublished - 2011
    EventInternational Conference on Field-Programmable Technology -
    Duration: 12 Dec 2011 → …

    Conference

    ConferenceInternational Conference on Field-Programmable Technology
    Period12/12/11 → …

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