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

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

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.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Brain*
  • Brain-Computer Interfaces*
  • Computer Simulation*
  • Neural Networks, Computer*
  • Neurons*
  • Software
  • Synapses