Publication Date:
2014-08-12
Description:
Inspired by the brain's structure, we have developed an efficient, scalable, and flexible non-von Neumann architecture that leverages contemporary silicon technology. To demonstrate, we built a 5.4-billion-transistor chip with 4096 neurosynaptic cores interconnected via an intrachip network that integrates 1 million programmable spiking neurons and 256 million configurable synapses. Chips can be tiled in two dimensions via an interchip communication interface, seamlessly scaling the architecture to a cortexlike sheet of arbitrary size. The architecture is well suited to many applications that use complex neural networks in real time, for example, multiobject detection and classification. With 400-pixel-by-240-pixel video input at 30 frames per second, the chip consumes 63 milliwatts.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Merolla, Paul A -- Arthur, John V -- Alvarez-Icaza, Rodrigo -- Cassidy, Andrew S -- Sawada, Jun -- Akopyan, Filipp -- Jackson, Bryan L -- Imam, Nabil -- Guo, Chen -- Nakamura, Yutaka -- Brezzo, Bernard -- Vo, Ivan -- Esser, Steven K -- Appuswamy, Rathinakumar -- Taba, Brian -- Amir, Arnon -- Flickner, Myron D -- Risk, William P -- Manohar, Rajit -- Modha, Dharmendra S -- New York, N.Y. -- Science. 2014 Aug 8;345(6197):668-73. doi: 10.1126/science.1254642. Epub 2014 Aug 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉IBM Research-Almaden, 650 Harry Road, San Jose, CA 95120, USA. ; IBM Research-Austin, 11501 Burnet Road, Austin, TX 78758, USA. ; Cornell University, 358 Upson Hall, Ithaca, NY 14853 USA. ; IBM Engineering and Technology Services, San Jose Design Center, 650 Harry Road, San Jose, CA 95120, USA. ; IBM Research-Tokyo, Nippon Building Fund Toyosu Canal Front Building, 5-6-52 Toyosu, Koto-ku Tokyo 135-8511, Japan. ; IBM T. J. Watson Research Center, 101 Kitchawan Road, Yorktown Heights, NY 10598, USA. ; Cornell Tech, 111 Eighth Avenue No. 302, New York, NY 10011, USA. ; IBM Research-Almaden, 650 Harry Road, San Jose, CA 95120, USA. dmodha@us.ibm.com.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25104385" target="_blank"〉PubMed〈/a〉
Keywords:
*Brain
;
*Brain-Computer Interfaces
;
*Computer Simulation
;
*Neural Networks (Computer)
;
*Neurons
;
Software
;
Synapses
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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