On brain-inspired connectivity and hybrid network topologies

Basheer A.M. Madappuram, Valeriu Beiu, Peter M. Kelly, Liam J. McDaid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

This paper starts from very fresh analyses comparing brain's connectivity with those of well-known network topologies, based on the latest interpretation of Rent's rule. Those analyses have revealed how close the brain comes to the latest Rent's rule averages. On the other hand, all the known network topologies seems to fall short of being strong contenders for mimicking the brain. That is why this paper performs a detailed Rent-based (top-down) connectivity analysis of many two-level hybrid network topologies. This analysis aims to identify those two-level hybrid network topologies which are able to closely mimic brain's connectivity. The ranges of granularity (as given by the total number of gates and the number of processors) where this mimicking is happening are identified. These results should have implications for the design of networks(-on-chip) and for the burgeoning field of multi/many-core processors (in the short to medium term), as well as for investigations on future nano-architectures (in the long run). Complementary results using a bottom-up approach have also been obtained, and will be mentioned.

Original languageEnglish
Title of host publication2008 IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2008
Pages54-61
Number of pages8
DOIs
Publication statusPublished - 2008
Event2008 IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2008 - Anaheim, CA, United States
Duration: Jun 12 2008Jun 13 2008

Publication series

Name2008 IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2008

Other

Other2008 IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2008
Country/TerritoryUnited States
CityAnaheim, CA
Period6/12/086/13/08

Keywords

  • Brain
  • Communication
  • Connectivity
  • Interconnect topology
  • Nano-architecture
  • Nanotechnology
  • Network topology
  • Neural network
  • Rent's rule

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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