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
- Supplementary Text
- Figs. S1 to S8
- Tables S1 and S2
- References
Images, Video, and Other Other Media
- 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.
