Top 3
Vicente, R., Wibral, M., Lindner, M. et al. (2011). Transfer entropy—a model-free measure of effective connectivity for the neurosciences. J Comput Neurosci 30, 45–67.
Tampuu, A., Matiisen, T., Kodelja, D., Kuzovkin, I., Korjus, K., Aru, J., … & Vicente, R. (2017). Multiagent cooperation and competition with deep reinforcement learning. PloS one, 12(4), e0172395.
Aru, J., Aru, J., Priesemann, V., Wibral, M., Lana, L., Pipa, G., … & Vicente, R. (2015). Untangling cross-frequency coupling in neuroscience. Current opinion in neurobiology, 31, 51-61.
Recent 3
Aru, J., Labash, A., Corcoll, O., & Vicente, R. (2023). Mind the gap: Challenges of deep learning approaches to Theory of Mind. Artificial Intelligence Review, 1-16.
Suzuki, M., Pennartz, C. M., & Aru, J. (2023). How deep is the brain? The shallow brain hypothesis. Nature Reviews Neuroscience, 1-14.
Aru, J., Larkum, M., & Shine, J. M. (2023). The feasibility of artificial consciousness through the lens of neuroscience. Trends in Neurosciences.