Document Detail


Nanotube devices based crossbar architecture: toward neuromorphic computing.
MedLine Citation:
PMID:  20368686     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Nanoscale devices such as carbon nanotube and nanowires based transistors, memristors and molecular devices are expected to play an important role in the development of new computing architectures. While their size represents a decisive advantage in terms of integration density, it also raises the critical question of how to efficiently address large numbers of densely integrated nanodevices without the need for complex multi-layer interconnection topologies similar to those used in CMOS technology. Two-terminal programmable devices in crossbar geometry seem particularly attractive, but suffer from severe addressing difficulties due to cross-talk, which implies complex programming procedures. Three-terminal devices can be easily addressed individually, but with limited gain in terms of interconnect integration. We show how optically gated carbon nanotube devices enable efficient individual addressing when arranged in a crossbar geometry with shared gate electrodes. This topology is particularly well suited for parallel programming or learning in the context of neuromorphic computing architectures.
Authors:
W S Zhao; G Agnus; V Derycke; A Filoramo; J-P Bourgoin; C Gamrat
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-04-06
Journal Detail:
Title:  Nanotechnology     Volume:  21     ISSN:  1361-6528     ISO Abbreviation:  Nanotechnology     Publication Date:  2010 Apr 
Date Detail:
Created Date:  2010-04-26     Completed Date:  2010-07-20     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101241272     Medline TA:  Nanotechnology     Country:  England    
Other Details:
Languages:  eng     Pagination:  175202     Citation Subset:  IM    
Affiliation:
CEA, LIST, Embedded Computing Laboratory, Gif-sur-Yvette, France.
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MeSH Terms
Descriptor/Qualifier:
Bioengineering*
Micro-Electrical-Mechanical Systems*
Models, Neurological
Nanostructures*
Nanotechnology
Comments/Corrections
Erratum In:
Nanotechnology. 2010 Jun 25;21(25):259801

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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