Research Article
On Two-Layer Hierarchical Networks How Does the Brain Do This?
@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
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.