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

      Science (New York, N.Y.)
      Brain, Brain-Computer Interfaces, Computer Simulation, Neural Networks (Computer), Neurons, Software, Synapses

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          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. Copyright © 2014, American Association for the Advancement of Science.

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          Author and article information

          Journal
          25104385
          10.1126/science.1254642

          Chemistry
          Brain,Brain-Computer Interfaces,Computer Simulation,Neural Networks (Computer),Neurons,Software,Synapses

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