• DocumentCode
    1831963
  • Title

    Does the brain really outperform Rent’s rule?

  • Author

    Beiu, Valeriu ; Ibrahim, Walid

  • Author_Institution
    Center for Neural Inspired Nano Archit., United Arab Emirates Univ., Al Ain
  • fYear
    2008
  • fDate
    18-21 May 2008
  • Firstpage
    640
  • Lastpage
    643
  • Abstract
    This paper presents a thorough analysis of brain´s connectivity from the perspective of the latest interpretation of Rent´s rule, and using neurological data. While at first sight the brain might seem to outperform most of the known network topologies, a closer look will reveal that in fact it does not. From another perspective, the brain will seem to be just on the border of the latest range of Rent´s rule values, while neurological data will show that it is almost right on the average. We conclude that, among quite a few network topologies, the crossbar (for very small sizes) and the cube connected cycles are highly competitive contenders for future brain-inspired nanoarchitectures.
  • Keywords
    brain models; nanoelectronics; neural nets; Rent rule; brain connectivity; brain-inspired nanoarchitectures; crossbar; cube connected cycles; network topologies; neurological data; Communication switching; Computer aided manufacturing; Delay; Educational institutions; Hardware; Information technology; Integrated circuit interconnections; Intelligent systems; Network topology; Wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1683-7
  • Electronic_ISBN
    978-1-4244-1684-4
  • Type

    conf

  • DOI
    10.1109/ISCAS.2008.4541499
  • Filename
    4541499