Spaun (Semantic Pointer Architecture Unified Network) Explained

Spaun ("Semantic Pointer Architecture Unified Network") is a cognitive architecture pioneered by Chris Eliasmith of the University of Waterloo Centre for Theoretical Neuroscience.[1] It consists of 2.5 million simulated neurons organized into subsystems that resemble specific brain regions, such as the prefrontal cortex, basal ganglia, and thalamus. It can recognize numbers, remember them, figure out numeric sequences, and even write them down with a robotic arm.[2] [3] It is implemented using Nengo.

External links

Notes and References

  1. Web site: Spaun: Chris Eliasmith on how to build a brain . University of Waterloo . 6 March 2013 . 17 May 2016.
  2. Web site: Meet Spaun, The Most Complex Simulated Brain Ever . Popsci.com . May 17, 2016.
  3. Eliasmith . C. . Stewart . T.C. . Choo . X. . Bekolay . T. . DeWolf . T. . Tang . Y. . Rasmussen . D. . A large-scale model of the functioning brain . Science . 338 . 6111 . 1202–5 . 2012 . 10.1126/science.1225266 .

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