This page contains links to original data from experiments run at the Princeton Neuroscience Institute. These data are available to others for educational purposes. If they are used in publications, please cite the source of the data by indicating the published reference and the address of this website.

Bennett, D., Radulescu, A., Zorowitz, S., Felso, V., & Niv, Y. (2021). Affect-congruent attention drives changes in reward expectations. [preprint][data]

Rouhani, N., & Niv, Y. (2021). Signed and unsigned reward prediction errors dynamically enhance learning and memory. eLife, 10: e61077. [Publisher’s version][data]

Shin, Y. S., & Niv, Y. (2021). Biased evaluations emerge from inferring hidden causes. Nature Human Behaviour. [pdf][data]

Zaller, I., Zorotiwtz, S., Niv, Y. (2021). Information Seeking on the Horizons Task Does Not Predict Anxious Symptomatology. Biological Psychiatry. 89(9), S217-S218. [pdf][data]

Zorowitz, S., Niv, Y., & Bennett, D. (2021). Inattentive responding can induce spurious associations between task behavior and symptom measures.[preprint][data]

Radulescu, A., Holmes, K., & Niv, Y. (2020). On the convergent validity of risk sensitivity measures. [manuscript][data]

Rouhani, N., Norman, K. A., & Niv, Y. (2018). Dissociable effects of surprising rewards on learning and memory. Journal of experimental psychology. Learning, memory, and cognition44(9), 1430–1443. [pdf][data_indDiff][data_memory][data_learning][data_readme]

Niv, Y., Daniel, R., Geana, A., Gershman, S. J., Leong, Y. C., Radulescu, A., & Wilson, R. C. (2015). Reinforcement learning in multidimensional environments relies on attention mechanisms. The Journal of neuroscience35(21), 8145–8157. [pdf][data][data_readme]

Niv, Y., Edlund, J., Dayan, P., O’Doherty, J. P. (2012). Neural prediction errors reveal a risk-sensitive reinforcement learning process in the human brain. The Journal of Neuroscience. 32(2), 551-562. [pdf][data][data_readme]