DocumentCode
1831963
Title
Does the brain really outperform Rent’s rule?
Author
Beiu, Valeriu ; Ibrahim, Walid
Author_Institution
Center for Neural Inspired Nano Archit., United Arab Emirates Univ., Al Ain
fYear
2008
fDate
18-21 May 2008
Firstpage
640
Lastpage
643
Abstract
This paper presents a thorough analysis of brain´s connectivity from the perspective of the latest interpretation of Rent´s rule, and using neurological data. While at first sight the brain might seem to outperform most of the known network topologies, a closer look will reveal that in fact it does not. From another perspective, the brain will seem to be just on the border of the latest range of Rent´s rule values, while neurological data will show that it is almost right on the average. We conclude that, among quite a few network topologies, the crossbar (for very small sizes) and the cube connected cycles are highly competitive contenders for future brain-inspired nanoarchitectures.
Keywords
brain models; nanoelectronics; neural nets; Rent rule; brain connectivity; brain-inspired nanoarchitectures; crossbar; cube connected cycles; network topologies; neurological data; Communication switching; Computer aided manufacturing; Delay; Educational institutions; Hardware; Information technology; Integrated circuit interconnections; Intelligent systems; Network topology; Wire;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
978-1-4244-1683-7
Electronic_ISBN
978-1-4244-1684-4
Type
conf
DOI
10.1109/ISCAS.2008.4541499
Filename
4541499
Link To Document