Fang, C., Aronov, D., Abbott, L., and Mackevicius, E. (accepted in eLife 2022) Neural learning rules for generating flexible predictions and computing the successor representation.
Fang, C., Shook, E., Buck, J., and Horga, G. (Cognitive Computational Neuroscience 2022; * equal contribution) Predictive Coding Dynamics Improve Noise Robustness in A Deep Neural Network of the Human Auditory System
Fang, C., Aronov, D., Abbott, L., and Mackevicius, E. (ICML 2022 Beyond Bayes Workshop) Biological Mechanisms for Learning Predictive Models of the World and Generating Flexible Predictions.
Vendrell-Llopis, N., Fang, C., Qu, A., Costa, R., Carmena, J. (Current Biology 2022). Diverse operant control of different motor cortex populations during learning.
Tyulmankov, D.*, Fang, C.*, Vadaparty, A., and Yang, G.R. (NeurIPS 2021; * equal contribution). Biological key-value memory networks.