update readme, and add vector figures (pdfs)

README.md

@@ -6,16 +6,11 @@ authors: Z. Shi, F. Allenmark, L. Theisinger, R. Pistorius, S. Glasauer, H. Mül
 ## Folder Structure
 
 1. `/experiments`: Experimental codes and instructions
-
 This sub-folder contains Matlab codes and instructions for the duration reproduction task. The sequences of the duration reproductions are stored in the sub-folder `/experiments/seqs`. Those sequences were used for matched participants. 
-
 2. `/data`: raw data files
-
-- `rawdata.csv`: Raw reproduction trials
-- `parinfo.csv`: Participant information, including AQ, EQ, SQ, IQ etc. 
-
-1. `/figures`: figures generated by theh code. 
-
-2. `analysis-notebook.ipynb`: the main analysis code and report
-3. `kmodelY.py`: the two-state iterative model used in the analysis
+   - `rawdata.csv`: Raw reproduction trials
+   - `parinfo.csv`: Participant information, including AQ, EQ, SQ, IQ etc. 
+3. `/figures`: figures generated by theh code. 
+4. `analysis-notebook.ipynb`: the main analysis code and report
+5. `kmodelY.py`: the two-state iterative model used in the analysis
 

datacite.yml

@@ -78,6 +78,11 @@ funding:
 # Supported sources are: DOI, arXiv, PMID
 # In the citation field, please provide the full reference, including title, authors, journal etc.
 
+references:
+  -
+    id: "doi:10.1101/2022.01.21.477218"
+    reftype: "IsSupplementTo"
+    citation: "Shi, Z., Theisinger, L. A., Allenmark, F., Pistorius, R. L., Müller, H. J., & Falter-Wagner, C. M. (2022). Predictive coding in ASD: inflexible weighting of prediction errors when switching from stable to volatile environments. In bioRxiv (p. 2022.01.21.477218). https://doi.org/10.1101/2022.01.21.477218"
 
 # Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
 resourcetype: Dataset