If you download the following datasets or packages and plan to use them in your publications, please make sure to cite the corresponding papers. Also, please respect the licenses and special requests attached to each dataset or package.
The following packages are free software. You can redistribute them and/or modify them under the terms of the GNU General Public License, or alternative licenses specified in the package.
Spitmaan, M., Chu, E., & Soltani, A. (2019). Salience-driven value construction for adaptive choice under risk. Journal of Neuroscience, 39(26), 5195-5209. The package contains all the data you need to run the analysis plus some code in order to read the data [github].
Spitmaan, M., Horno, O., Chu, E., & Soltani, A. (2019). Combinations of low-level and high-level neural processes account for distinct patterns of context-dependent choice. PLoS computational biology, 15(10), e1007427. All data used in the manuscript [download].
Farashahi, S., Ting, C. C., Kao, C. H., Wu, S. W., & Soltani, A. (2018). Dynamic combination of sensory and reward information under time pressure. PLoS computational biology, 14(3), e1006070. The package contains all the data you need to run the analysis plus some code in order to read the data [download].
Farashahi, S., Rowe, K., Aslami, Z., Gobbini, M. I., & Soltani, A. (2018). Influence of learning strategy on response time during complex value-based learning and choice. PloS one, 13(5), e0197263. The package contains all the experimental data plus some codes in order to read the data and perform some basic data analyses [Dataset download; Code download on github].