Towards Brain-inspired Interconnects and Circuits

Research Article

On Two-Layer Hierarchical Networks How Does the Brain Do This?

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  • @INPROCEEDINGS{10.1007/978-3-642-04850-0_31,
        author={Valeriu Beiu and Basheer Madappuram and Peter Kelly and Liam McDaid},
        title={On Two-Layer Hierarchical Networks How Does the Brain Do This?},
        proceedings={Towards Brain-inspired Interconnects and Circuits},
        proceedings_a={TBIC},
        year={2012},
        month={5},
        keywords={Connectivity interconnect topology network topology network-on-chip communication nanotechnology nano-architecture Rent’s rule neural networks brain},
        doi={10.1007/978-3-642-04850-0_31}
    }
    
  • Valeriu Beiu
    Basheer Madappuram
    Peter Kelly
    Liam McDaid
    Year: 2012
    On Two-Layer Hierarchical Networks How Does the Brain Do This?
    TBIC
    Springer
    DOI: 10.1007/978-3-642-04850-0_31
Valeriu Beiu1,*, Basheer Madappuram1,*, Peter Kelly2,*, Liam McDaid2,*
  • 1: UAE University
  • 2: University of Ulster
*Contact email: vbeiu@uaeu.ac.ae, basheera@uaeu.ac.ae, pm.kelly@ulster.ac.uk, mcdaid@ulster.ac.uk

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 (, number of gates/cores/neurons) as well as the and the particular combinations of the two generic networks which would make such a mimicking achievable are identified and discussed.