Paper Info
Title
On two-layer brain-inspired hierarchical topologies – a rent's rule approach –
Abstract
This research compares the brain's connectivity (based on different analyses of neurological data) with well-known network topologies (originally used in super-computers) using Rent's rule. The comparison reveals that brain connectivity is in good agreement with Rent's rule. However, the known network topologies fall short of being strong contenders for mimicking brain's connectivity. That is why we perform a detailed Rent-based (top-down) connectivity analysis of generic two-layer hierarchical network topologies. This analysis aims to identify generic two-layer hierarchical network topologies which could closely mimic brain's connectivity. The range of granularities (i.e., number of gates/cores/neurons) where such mimicking is possible are identified and discussed. These results should have implications for the design of future networks-on-chip in general, and for the burgeoning field of multi/many-core processors in particular (in the medium term), as well as for forward-looking investigations on emerging brain-inspired nano-architectures (in the long run).
Year
DOI
Venue
2011
10.1007/978-3-642-24568-8_16
T. HiPEAC
Keywords
Field
DocType
brain-inspired nano-architectures,generic two-layer hierarchical network,different analysis,mimicking brain,connectivity analysis,brain connectivity,forward-looking investigation,known network topology,two-layer brain-inspired hierarchical topology,future networks-on-chip,well-known network topology,rule approach,communication,network on chip,connectivity,network topology,neural networks
Computer science,Network on a chip,Network topology,Theoretical computer science,Rent's rule,Artificial intelligence,Artificial neural network,Nano architecture
Journal
Volume
ISBN
Citations 
4
3-642-24567-6
6
PageRank 
References 
Authors
0.47
49
4
Name
Order
Citations
PageRank
Valeriu Beiu119732.12
Basheer A. M. Madappuram260.80
Peter M. Kelly3699.44
Liam Mcdaid427030.48