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A predictive network learns a world in which some events are rare. Add the right amount of noise to its internal replay and its simulation of those rare events becomes accurate. Turn the knob and watch.
Heng Zhang1,*, Pawel Herman2,#, Zenas C. Chao1,*
1WPI-IRCN, UTIAS, The University of Tokyo, Japan2KTH Royal Institute of Technology, Sweden
*Corresponding author#Co-senior author
Heng ZhangThe University of TokyoComputational neuroscience
Zenas C. ChaoThe University of TokyoBrain–machine interface
Pawel HermanKTH Royal Institute of TechnologyBrain–computer interfaces




