This repository contains the code and data for the results reported in the article:
A. Modirshanechi, W.H. Lin, H.A. Xu, M.H. Herzog, and W. Gerstner, "Novelty as a drive of human exploration in complex stochastic environments", to appear in PNAS (2025); preprint available on bioRxiv.
Contact: alireza.modirshanechi@helmholtz-munich.de
- Julia (1.10.3)
To install the necessary Julia packages, follow these steps:
- Navigate into the
IMRLExplorationfolder. - Open a Julia terminal, press
]to enter the package management mode. - In the package management mode, type
activate .. - In the package management mode, type
instantiate.
All Julia packages and dependencies will be installed automatically within this environment.
IMRLExploration/HowTo.ipynb presents a demo for reading and working with the data, along with a general overview of computational models.
The behavioral choices of participant number i (with i between 1 and 63) are saved in IMRLExploration/data/BehaveData_Si.mat.
Graph reconstruction data of all participants is saved in IMRLExploration/data/graphs.csv.
The data structure is explained in IMRLExploration/HowTo.ipynb along with a demonstration of how to read and work with the data.
If you would like to only use the data without using our code, you can find a tidy version of the raw data saved in data/tidydata.CSV (with the same notation as in the paper).
The folder IMRLExploration/figures/ contains a series of ipynb notebooks for reproducing the results presented in different figures.
- All analyses are based on the functions and structures that are defined in the
jlfiles inIMRLExploration/src/ - The subfolders in
IMRLExploration/src/contain files for model-fitting (IMRLExploration/src/01_ModelFitting), Posterior Predictive Checks (IMRLExploration/src/02_PPCSimulation; also seeIMRLExploration/figures/Figure5_plus2DF.ipynb), and model-recovery (IMRLExploration/src/03_ModelRecovery). Each subfolder contains aREADMEfile.