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 Sep 200911 Sep 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


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