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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/ISCAS.2008.4541499