On two-layer hierarchical networks how does the brain do this?

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

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


In this paper our aim is to identify layered hierarchical generic network topologies which could closely mimic brain's connectivity. Recent analyses have compared the brain's connectivity (based both on a cortical-equivalent Rent's rule and on neurological data) with well-known network topologies used in supercomputers and massively parallel computers (using two different interpretations of Rent's rule). These have revealed that none of the well-known computer network topologies by themselves are strong contenders for mimicking the brain's connectivity. That is why in this paper we perform a high-level analysis of two-layer hierarchical generic networks. The range of granularities (i.e., number of gates/cores/neurons) as well as the fan-ins and the particular combinations of the two generic networks which would make such a mimicking achievable are identified and discussed.

Original languageEnglish
Title of host publicationNano-Net - 4th International ICST Conference, Nano-Net 2009, Proceedings
Number of pages11
Publication statusPublished - 2009
Event4th International ICST Conference on Nano-Net, Nano-Net 2009 - Lucerne, Switzerland
Duration: Oct 18 2009Oct 20 2009

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume20 LNICST
ISSN (Print)1867-8211


Other4th International ICST Conference on Nano-Net, Nano-Net 2009


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

ASJC Scopus subject areas

  • Computer Networks and Communications


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