Neuro inspired reconfigurable architecture for hardware/software co-design

Arfan Ghani, Liam McDaid, Ammar Belatreche, Waqar Ahmed

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    2 Citations (Scopus)


    In neuro-inspired computing, cortical columns or microcircuits appear to be the basic unit of computation for recognition related tasks. This paper proposes an integrated framework for an efficient implementation of a cortical column on reconfigurable platform (FPGAs). A novel hardware/software co-design implementation strategy is devised and the functionality is tested in the context of speech recognition application. An overall accuracy of 98% was achieved with the fixed-point hardware/software co-design technique in comparison to the 100% with the floating-point software implementation.
    Original languageEnglish
    Title of host publicationProceedings: IEEE International SOC Conference
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages4
    ISBN (Print)978-1-4244-5220-0
    Publication statusPublished - 2009
    Event2009 IEEE International SOC Conference (SOCC) - Belfast, United Kingdom
    Duration: 9 Sept 200911 Sept 2009


    Conference2009 IEEE International SOC Conference (SOCC)
    Country/TerritoryUnited Kingdom


    • cortical column
    • neuro inspired reconfigurable architecture
    • neuro-inspired computing
    • microcircuits
    • FPGA
    • speech recognition
    • floating-point software
    • fixed-point hardware-software co-design technique


    Dive into the research topics of 'Neuro inspired reconfigurable architecture for hardware/software co-design'. Together they form a unique fingerprint.

    Cite this