A million spiking-neuron integrated circuit with a scalable communication network and interface-Reference-Cited by-同舟云学术

A million spiking-neuron integrated circuit with a scalable communication network and interface

Published:2014-08-08 Issue:6197 Volume:345 Page:668-673
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Merolla Paul A.¹,Arthur John V.¹,Alvarez-Icaza Rodrigo¹,Cassidy Andrew S.¹,Sawada Jun²,Akopyan Filipp¹,Jackson Bryan L.¹,Imam Nabil³,Guo Chen⁴,Nakamura Yutaka⁵,Brezzo Bernard⁶,Vo Ivan²,Esser Steven K.¹,Appuswamy Rathinakumar¹,Taba Brian¹,Amir Arnon¹,Flickner Myron D.¹,Risk William P.¹,Manohar Rajit⁷,Modha Dharmendra S.¹

Affiliation:

1. IBM Research–Almaden, 650 Harry Road, San Jose, CA 95120, USA.

2. IBM Research–Austin, 11501 Burnet Road, Austin, TX 78758, USA.

3. Cornell University, 358 Upson Hall, Ithaca, NY 14853 USA.

4. IBM Engineering and Technology Services, San Jose Design Center, 650 Harry Road, San Jose, CA 95120, USA.

5. IBM Research–Tokyo, Nippon Building Fund Toyosu Canal Front Building, 5-6-52 Toyosu, Koto-ku Tokyo 135-8511, Japan.

6. IBM T. J. Watson Research Center, 101 Kitchawan Road, Yorktown Heights, NY 10598, USA.

7. Cornell Tech, 111 Eighth Avenue No. 302, New York, NY 10011, USA.

Abstract

Modeling computer chips on real brains Computers are nowhere near as versatile as our own brains. Merolla et al. applied our present knowledge of the structure and function of the brain to design a new computer chip that uses the same wiring rules and architecture. The flexible, scalable chip operated efficiently in real time, while using very little power. Science , this issue p. 668

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference40 articles.

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5. P. S. Churchland T. J. Sejnowski The Computational Brain (MIT Press Cambridge MA 1992).

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