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NeuroKit

Collection DOI Author

Part of the Open Research Collection by Juan Moisés de la Serna Tuya — 1,273+ datasets | DOI: 10.5281/zenodo.19145316

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

Citation / Cite This Repository

ORCID LinkedIn Scopus

If you use this repository in your research, please cite:

APA 7

De la Serna Tuya, J. M. (2025). NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing [Dataset]. GitHub. https://github.com/juanmoisesd/NeuroKit

BibTeX

@dataset{delaserna2025_NeuroKit,
  author    = {De la Serna Tuya, Juan Moisés},
  title     = {NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing},
  year      = {2025},
  publisher = {GitHub},
  url       = {https://github.com/juanmoisesd/NeuroKit},
  note      = {ORCID: 0000-0002-8401-8018}
}

About the Author

Juan Moisés de la Serna Tuya | Neuroeconomista forense | IA antifraude | UNIR

ID Link
ORCID 0000-0002-8401-8018
LinkedIn juanmoisesdelaserna
Scopus 26632846700
ResearcherID M-8296-2019
ResearchGate Juan_De_La_Serna_Tuya

290+ scientific works · 500+ DOIs · 90+ open datasets · Top 1% Academia.edu

See also: ABOUT_THE_AUTHOR.md · CITATION_GUIDE.md · GLOSSARY.md

How to Cite

If you use this repository in your research, please cite:

de la Serna, J. M. (2026). Neurokit. Universidad Internacional de La Rioja (UNIR). https://github.com/juanmoisesd/NeuroKit 10.5281/zenodo.19145316

See CITATION.cff for formatted references.

Overview

This repository contains data and resources related to NeuroKit. It is part of an open science initiative to share research findings and datasets with the global scientific community.

Research Context

The project addresses key questions in the field of neuroscience and social sciences, focusing on providing accessible data for further analysis and validation.

Repository Structure

  • data/: Contains the datasets used in this research.
  • src/: Source code for data processing and analysis.
  • results/: Output files, figures, and metrics.

Usage

To use the resources in this repository, clone the project and ensure you have the necessary dependencies installed. Refer to the specific documentation in each folder for more details.

License

This project is licensed under the MIT License - see the LICENSE file for details.