• DocumentCode
    2954773
  • Title

    An integrated 20-bit 33/5M events/s AER sensor interface with 10ns time-stamping and hardware-accelerated event pre-processing

  • Author

    Hofstatter, Michael ; Schön, Peter ; Posch, Christoph

  • Author_Institution
    AIT - Austrian Inst. of Technol., Vienna, Austria
  • fYear
    2009
  • fDate
    26-28 Nov. 2009
  • Firstpage
    257
  • Lastpage
    260
  • Abstract
    This paper presents a custom data bridge that interfaces the continuous-time world of asynchronous address-events (AER) to the realm of conventional digital data processing. The main focus in the design of the interface was on precisely maintaining the inherent timing information of AER sensor data while providing robust peak-rate handling, DMA functionality and a novel event-rate dependent system control mechanism. The sensor interface can be integrated with standard CMOS logic in an AER processing system-on-chip and implements hardware-accelerated event pre-processing including pre-FIFO high-resolution time-stamping, address masking for ROI and event-rate dependent IRQ generation without loading a downstream processing device. The sensor interface has been implemented in a 0.18 ¿m CMOS process and achieves peak AER event rates of 33M events/sec and sustained AER event rates of 5.125 M events/sec at 10 ns time-stamp resolution. We discuss design considerations and implementation details and show measurement results from the fabricated chip.
  • Keywords
    CMOS logic circuits; VLSI; biomedical engineering; neural chips; AER sensor interface; CMOS logic; DMA functionality; address masking; asynchronous address events; digital data processing; event preprocessing; hardware acceleration; storage capacity 20 bit; time stamping; Bridges; CMOS logic circuits; CMOS process; Control systems; Data processing; Logic devices; Robust control; Sensor systems; System-on-a-chip; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference, 2009. BioCAS 2009. IEEE
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4917-0
  • Electronic_ISBN
    978-1-4244-4918-7
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2009.5372034
  • Filename
    5372034