Supplementary Materials

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

Paul A. Merolla, John V. Arthur, Rodrigo Alvarez-Icaza, Andrew S. Cassidy, Jun Sawada, Filipp Akopyan, Bryan L. Jackson, Nabil Imam, Chen Guo, Yutaka Nakamura, Bernard Brezzo, Ivan Vo, Steven K. Esser, Rathinakumar Appuswamy, Brian Taba, Arnon Amir, Myron D. Flickner, William P. Risk, Rajit Manohar, Dharmendra S. Modha

Materials/Methods, Supplementary Text, Tables, Figures, and/or References

Download Supplement
  • Supplementary Text
  • Figs. S1 to S8
  • Tables S1 and S2
  • References

Images, Video, and Other Other Media

Movie S1
Movie of object detection and classification system on TrueNorth. Upper left Saliency detects when clusters of pixels vary significantly from a learned background. Upper right Saliency + Classification categorizes detected objects as one of five classes: car, bus, truck, person, cyclist. Lower left Object Centers calculates the center point of each object. Lower right Output places class specific boxes at the center of each object with the class label: blue for car, cyan for truck, magenta for bus, green for person, red for cyclist.
Correction (11 September 2014): The original PDF was missing Fig. S1, which has been added to this file.
The original version is accessible here.