added figshare link to readme

README.md

@@ -3,14 +3,15 @@ Code and data for
 
 #### Urai AE, de Gee JW, Tsetsos K, Donner TH (2018) Choice history biases subsequent evidence accumulation. bioRxiv:251595. ####
 
-The summary csv files, including history information, are all in the Data subfolder and have been named using the abbreviations described in the paper.
+Behavioral data and model fits are available at https://doi.org/10.6084/m9.figshare.7268558.v2 under a CC-BY 4.0 license.
 
-To reproduce the figures, 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.
+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.
 <code>
 python b1_HDDM_run.py -r 1 -d $d -v $v -i $i -s $s
 </code>
 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.
 
-Then, in Matlab run the file <code>plotAll.m</code>, which will read in the models and reproduce all figures step-by-step.
+To reproduce all main figures, see <code>plot_all.m</code> which has the overview of the scripts that are called to generate each figure. 
+The <code>simulations</code> folder contains Python code to generate Supplementary Figure 8.
 
 For questions, @AnneEUrai / [email protected].