Code and data for
Urai AE, de Gee JW, Tsetsos K, Donner TH (2019) Choice history biases subsequent evidence accumulation. eLife, 8:e46331.
Behavioral data and model fits are available at https://doi.org/10.6084/m9.figshare.7268558 under a CC-BY 4.0 license.
To fit the models, install the HDDM package (http://ski.clps.brown.edu/hddm_docs/index.html). Then run the HDDM models using b1_HDDM_run.py (the models are specified in hddm_models.py). Easiest is to use a batch job submission system, and do e.g.
python b1_HDDM_run.py -r 1 -d $d -v $v -i $i -s $s
where -d = 0-6 (datasets), -v = 0-11 (versions of the model), -i = 0-30 (traces, can be changed to whatever the number of cores on a node) and -i = 5.000, the number of samples per trace.
To reproduce all main figures, see plot_all.m which has the overview of the scripts that are called to generate each figure.
The extended_models folder contains Matlab code to fit the models in Figure 6.
The simulations folder contains Python code to generate Supplementary Figure 8.
For questions, @AnneEUrai / anne.urai@gmail.com.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. If you use the Software for your own research, please cite the paper.
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