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https://github.com/bruaristimunha/across-modalities
https://github.com/bruaristimunha/across-modalities
eeg eeg-signals mne neuroscience python timing
Last synced: 11 days ago
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- Host: GitHub
- URL: https://github.com/bruaristimunha/across-modalities
- Owner: bruAristimunha
- License: unlicense
- Created: 2019-11-11T18:45:50.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2022-08-26T01:07:48.000Z (over 2 years ago)
- Last Synced: 2024-11-13T18:51:40.734Z (2 months ago)
- Topics: eeg, eeg-signals, mne, neuroscience, python, timing
- Language: Jupyter Notebook
- Size: 208 MB
- Stars: 2
- Watchers: 5
- Forks: 0
- Open Issues: 14
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Across-Modalities
Reproducing the source code of the article: [A common representation of time across visual and auditory modalities](https://doi.org/10.1016/j.neuropsychologia.2018.08.014).
The contributions of this work are to reproduce the work, besides proposing improvements in the decoding process.
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## Abstract
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## Project Organization
--------------------The structure of this project follows the [Cookiecutter](https://github.com/mkrapp/cookiecutter-reproducible-science) for reprodubility template.
.
├── LICENSE
├── README.md
├── bin
├── config
├── data
│ ├── external
│ ├── interim
│ ├── processed
│ └── raw
├── docs
├── notebooks
├── reports
│ └── figures
└── src
├── data
├── external
├── models
├── tools
└── visualization## Requirements
In the development of this code was tested exclusively on Python 3, so we do not guarantee the operation in another version.
- Python >= 3.5
- TO-DO## Installing the dependencies
Install virtualenv and creating a new virtual environment:pip install virtualenv
virtualenv -p /usr/bin/python ./venvInstall dependencies
pip install -r config/requirements.txt
## Citation
If you find this code useful for your research, please cite:
@article{Barne:2018,
title = "A common representation of time across visual and auditory modalities",
journal = "Neuropsychologia",
volume = "119",
pages = "223 - 232",
year = "2018",
issn = "0028-3932",
doi = "https://doi.org/10.1016/j.neuropsychologia.2018.08.014",
url = "http://www.sciencedirect.com/science/article/pii/S0028393218304913",
author = "Louise C. Barne and João R. Sato and Raphael Y. de Camargo and Peter M.E. Claessens and Marcelo S. Caetano and André M. Cravo",
keywords = "Time perception, Multivariate pattern analysis, EEG, Vision, Audition",
}
@article{}