Researchers report artificial neural networks contain subnetworks that are considerably smaller, yet capable of being trained to make equally accurate predictions. Many subnetworks can learn to make accurate predictions much faster than the original networks.
Source
Author: neurosciencenews – robotics
Date/time: 8th May 2019, 15:03


Researchers find neural activation patterns were predictive of the contents of voluntary visual imagery as far as 11 seconds before the choice of what to imagine. These results suggest that the contents of future visual imagery can be biased by current or prior neural representations.
Source
Author: neurosciencenews – robotics
Date/time: 7th March 2019, 06:02