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https://github.com/bruaristimunha/across-modalities


https://github.com/bruaristimunha/across-modalities

eeg eeg-signals mne neuroscience python timing

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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 ./venv

Install 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{}