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. 2014 Aug 8;345(6197):668-73.
doi: 10.1126/science.1254642. Epub 2014 Aug 7.

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

Paul A Merolla  1 , John V Arthur  1 , Rodrigo Alvarez-Icaza  1 , Andrew S Cassidy  1 , Jun Sawada  2 , Filipp Akopyan  1 , Bryan L Jackson  1 , Nabil Imam  3 , Chen Guo  4 , Yutaka Nakamura  5 , Bernard Brezzo  6 , Ivan Vo  2 , Steven K Esser  1 , Rathinakumar Appuswamy  1 , Brian Taba  1 , Arnon Amir  1 , Myron D Flickner  1 , William P Risk  1 , Rajit Manohar  7 , Dharmendra S Modha  8
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Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface

Paul A Merolla et al. Science. .

Abstract

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.

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  • The brain chip.
    Service RF. Service RF. Science. 2014 Aug 8;345(6197):614-6. doi: 10.1126/science.345.6197.614. Epub 2014 Aug 7. Science. 2014. PMID: 25104367 No abstract available.

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