# Experiment for the Scientific Programming Course
Author: Hugo Fluhr
Fall 2023
Programmed in Python using Psychopy
This task is part of the tasks presented in this preprint by Ji-An Li et al. 2023.
The reversal learning task consists in learning a stimulus outcome association during a number of trials, after a while the contingencies between stimuli and rewards are reversed. This task allows to test the cognitive flexibility of participants.
- two visual stimuli
- probabilistic rewards
- limited time to provide answer
- feedback on the reward of selected outcome
- reverse the contingencies after N trials
- again do N trials with reversed contingencies
- Response times
- Choices
To run this experiment, you need to install the python packages listed in requirements.txt. You can do so using:
pip install -r requirements.txt
Then run
python run_experiments.py -p "participant_name"
to run the experiment.
To run the analysis and generate the figures, run
python analysis.py.
The data from 7 participants was acquired. From this we can perform the following analysis:
- compare the accuracies pre- and post- reversal.
- look a the evolution of the accuracy across trials.
- compare the response times pre/post reversal and in correct vs incorrect choices.