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

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

doi:10.1007/978-3-642-04850-0_31

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

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

Department of Computer and Network Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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 language	English
Title of host publication	Nano-Net - 4th International ICST Conference, Nano-Net 2009, Proceedings
Pages	231-241
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-04850-0_31
Publication status	Published - 2009
Event	4th International ICST Conference on Nano-Net, Nano-Net 2009 - Lucerne, Switzerland Duration: Oct 18 2009 → Oct 20 2009

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume	20 LNICST
ISSN (Print)	1867-8211

Other

Other	4th International ICST Conference on Nano-Net, Nano-Net 2009
Country/Territory	Switzerland
City	Lucerne
Period	10/18/09 → 10/20/09

Keywords

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

Access to Document

10.1007/978-3-642-04850-0_31

Cite this

Beiu, V., Madappuram, B. A. M., Kelly, P. M., & McDaid, L. J. (2009). On two-layer hierarchical networks how does the brain do this? In Nano-Net - 4th International ICST Conference, Nano-Net 2009, Proceedings (pp. 231-241). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 20 LNICST). https://doi.org/10.1007/978-3-642-04850-0_31

On two-layer hierarchical networks how does the brain do this? / Beiu, Valeriu; Madappuram, Basheer A.M.; Kelly, Peter M. et al.
Nano-Net - 4th International ICST Conference, Nano-Net 2009, Proceedings. 2009. p. 231-241 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 20 LNICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Beiu, V, Madappuram, BAM, Kelly, PM & McDaid, LJ 2009, On two-layer hierarchical networks how does the brain do this? in Nano-Net - 4th International ICST Conference, Nano-Net 2009, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 20 LNICST, pp. 231-241, 4th International ICST Conference on Nano-Net, Nano-Net 2009, Lucerne, Switzerland, 10/18/09. https://doi.org/10.1007/978-3-642-04850-0_31

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title = "On two-layer hierarchical networks how does the brain do this?",

abstract = "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.",

keywords = "Brain, Communication, Connectivity, Interconnect topology, Nano-architecture, Nanotechnology, Network topology, Networkon- chip, Neural networks, Rent's rule",

author = "Valeriu Beiu and Madappuram, {Basheer A.M.} and Kelly, {Peter M.} and McDaid, {Liam J.}",

year = "2009",

doi = "10.1007/978-3-642-04850-0_31",

language = "English",

isbn = "3642048498",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering",

pages = "231--241",

booktitle = "Nano-Net - 4th International ICST Conference, Nano-Net 2009, Proceedings",

note = "4th International ICST Conference on Nano-Net, Nano-Net 2009 ; Conference date: 18-10-2009 Through 20-10-2009",