Our latest work on continual learning and representational drift is on arXiv!
Check out our latest work by Yikai Si and Shanshan Qin, “Continual-learning rules shape representational drift”, now on arXiv. This study shows how different continual-learning mechanisms produce distinct patterns of representational drift, linking drift to the stability-plasticity trade-off.
Shanshan Qin（秦山山）
Principal Investigator
My research interests include theoretical and computational neuroscience, quantiative biology and physics of life.