eComp Experiment
This Python package implements the eComp experiment.
The archived version can be found on Zenodo:
Installation
- Download miniconda
- Run
conda install mamba -c conda-forge - Run the following commands from the root of this repository
mamba env create -f environment.yml
conda activate ecomp_experiment
pre-commit install
pip install -e .Versioning
We follow a CalVer inspired versioning scheme.
Namely, each version consists of YYYY.MINOR.MICRO[.devX],
where YYYY is the full year,
MINOR is increased for each release that includes new features or behavior changes,
MICRO is increased for each release that only consists of bug fixes
or changes that don't impact the behavior of the software.
The [.devX] modifier is added for unreleased versions,
where X is replaced by a number starting with 0.
For example, we started developing this package in 2021 in an unreleased version,
so the initial version of the package was 2021.1.0.dev0,
signalling that the next release (currently in development iteration 0; see dev0),
will most likely be 2021.1.
Running the experiment
The experiment is intended to be run with simultaneous recording of EEG and eye-tracking data.
For more information on this, please see the EEG and eye-tracking directories respectively.
Further resources
All important details are reported in the original paper for the project:
- preprint: 10.1101/2022.03.31.486560
- journal article: 10.1371/journal.pcbi.1010747
The analysis code is available:
- repository: https://github.com/sappelhoff/ecomp_analysis
- doi: 10.5281/zenodo.6411287
The data is available in several formats:
- sourcedata
- derivatives
- BIDS formatted