This repository contains the DataJoint pipeline for the publication Shen and Ma, 2019
Link to the publication: https://psycnet.apa.org/record/2018-51674-001
This repository used DataJoint Matlab to implement the data pipeline, for an introduction to DataJoint, please visit https://datajoint.io/
Here is the Diagram of the data pipeline, containing the major tables used in this pipeline.
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Tables corresponding to the experiments and behavioral data and statiscis:
Experiment,Subject,Recording,Data,DataStats,DataStats2D,Performance. -
Tables corresponding to the model and model fits:
Model,InitialPoints,ParameterRange,RunBps,FitParsEvi*,FitPrediction*. -
Green squares are manual tables, blue dots are imported tables, red stars are computed tables.
The code that define the above tables and their computations is in the package +varprecision.
The orignal behavioral data was stored in the directory VP_data/.
Decision rules used in this publication are in the directory +varprecision/+decisionrule_bps.
Directory scripts/ provides scripts that help run the data pipeline.
Directory utils/ provides some utility functions used in this project.
Directory +varprecision/+plots provides some plotting functions.