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

@article{Merolla2014AMS,
  title={A million spiking-neuron integrated circuit with a scalable communication network and interface},
  author={Paul A. Merolla and John V. Arthur and Rodrigo Alvarez-Icaza and Andrew S. Cassidy and Jun Sawada and Filipp Akopyan and Bryan L. Jackson and Nabil Imam and Chen Guo and Yutaka Y. Nakamura and Bernard Brezzo and Ivan Vo and Steven K. Esser and Rathinakumar Appuswamy and Brian Taba and Arnon Amir and Myron Flickner and William P. Risk and Rajit Manohar and Dharmendra S. Modha},
  journal={Science},
  year={2014},
  volume={345},
  pages={668-673}
}
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… CONTINUE READING
Highly Influential
This paper has highly influenced 80 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,445 citations. REVIEW CITATIONS
Related Discussions
This paper has been referenced on Twitter 604 times. VIEW TWEETS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 674 extracted citations

A Programmable Event-driven Architecture for Evaluating Spiking Neural Networks

2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) • 2017
View 4 Excerpts
Highly Influenced

Spiking neural networks — Algorithms, hardware implementations and applications

2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS) • 2017
View 7 Excerpts
Highly Influenced

Asynchronous Design—Part 1: Overview and Recent Advances

IEEE Design & Test • 2015
View 4 Excerpts
Highly Influenced

Biomedical Image Segmentation Using Fully Convolutional Networks on TrueNorth

2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS) • 2018
View 4 Excerpts
Highly Influenced

Factoring Integers With a Brain-Inspired Computer

IEEE Transactions on Circuits and Systems I: Regular Papers • 2018
View 4 Excerpts
Highly Influenced

1,446 Citations

0200400'14'15'16'17'18'19
Citations per Year
Semantic Scholar estimates that this publication has 1,446 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-8 of 8 references

High Performance Computing

Didem Unat, Scott B. Baden, +3 authors Amin Vahdat
Lecture Notes in Computer Science • 1997
View 15 Excerpts
Highly Influenced

B

W. J. Dally
Towles, Design Automation Conference, • 2001
View 1 Excerpt

An analog VLSI system for stereoscopic vision (Springer

M. Mahowald
1994
View 1 Excerpt

The computational brain

Computational neuroscience • 1992
View 1 Excerpt

The computer and the brain (Yale

J. von Neumann
1958
View 1 Excerpt

R

D. S. Modha
Singh, Proceedings of the National Academy of Sciences 107, • 1348
View 1 Excerpt

Similar Papers

Loading similar papers…