A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets.

This page is built on request from the registry's record of the paper. The 6,000 most recent papers have a fuller page, built ahead of time, with the Code ↔ Paper reader, the tracing map and its validation, the record's versions, how to cite it and similar papers. This paper is older: its record, its code, its data and the requests about it are below.

Code

562 files of its code read; 16 matches between paragraphs and code. The Code ↔ Paper reader is built for the 6,000 most recent papers only: this paper's code is read at its source.

Zenodo 10210141

License: BSD-3-Clause

State: the link answers

Zenodo 10198748

License: GPL-3.0

State: the link answers

Copies: kept by the registry: this license allows it

gin.g-node.org/inm-6/cobrawap_publication_code

License: BSD-3-Clause

State: the link answers

Copies: kept by the registry: this license allows it

Zenodo 17197618

License: GPL-3.0

State: the link answers

Copies: kept by the registry: this license allows it

Zenodo 17048329

License: GPL-3.0

State: the link answers

Copies: kept by the registry: this license allows it

Zenodo 15005123

License: GPL-3.0

State: the link answers

Copies: kept by the registry: this license allows it

Zenodo 13134351

License: GPL-3.0

State: the link answers

Copies: kept by the registry: this license allows it

Zenodo 13268635

License: GPL-3.0

State: the link answers

Copies: kept by the registry: this license allows it

Zenodo 13268634

License: GPL-3.0

State: the link answers

Copies: kept by the registry: this license allows it

Tools found in the code: Elephant, Matplotlib, Neo, NumPy, pandas, scikit-image, scikit-learn, SciPy, seaborn, Snakemake

OverviewAuthors: Robin Gutzen, Giulia De Bonis, Chiara De Luca, Elena Pastorelli, Cristiano Capone, Anna Letizia Allegra Mascaro, Francesco Resta, Arnau Manasanch, Francesco Saverio Pavone, Maria V. Sanchez-Vives, Maurizio Mattia, Sonja Grün, Pier Stanislao Paolucci, Michael Denker
Journal: Cell reports methods
Published: 5 January 2024
Type: Research article
Status: code verified (how the code is found and verified)
DOI: 10.1016/j.crmeth.2023.100681
License: CC BY
Institutions: Forschungszentrum Jülich (Germany), Jülich Aachen Research Alliance (Germany), RWTH Aachen University (Germany), Istituto Nazionale di Fisica Nucleare (Italy), Istituto Nazionale di Fisica Nucleare, Sezione di Roma I (Italy), University of Zurich (Switzerland), ETH Zurich (Switzerland), Institute of Neuroinformatics (Switzerland), European Laboratory for Non-Linear Spectroscopy (Italy), Neuroscience Institute (Italy), National Research Council (Italy), University of Florence (Italy), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (Spain), National Institute of Optics (Italy), Institució Catalana de Recerca i Estudis Avançats (Spain), Istituto Superiore di Sanità (Italy)
Categories: optical imaging (calcium, voltage, 2-photon) (modality), intracranial EEG (iEEG / ECoG / SEEG) (modality), methods / tools (subfield)

Data

Datasets cited

Contribute

The authors of this paper can claim it and correct its record, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to the registry's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors or correct its record: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Add the badge to the code's README

Authors and maintainers of this paper's code: the badge says what OSCR knows of the paper and links the code to this page. Paste one of these under the README's title. Keep the two marks around it: they let the badge be replaced in place, never added twice. Nothing is changed for you.

Markdown

<!-- oscr-badge:start -->
[![OSCR](https://openscicode.org/badge/doi/10.1016/j.crmeth.2023.100681.svg)](https://openscicode.org/badge/doi/10.1016/j.crmeth.2023.100681)
<!-- oscr-badge:end -->

reStructuredText

.. oscr-badge:start

.. image:: https://openscicode.org/badge/doi/10.1016/j.crmeth.2023.100681.svg
   :target: https://openscicode.org/badge/doi/10.1016/j.crmeth.2023.100681
   :alt: OSCR

.. oscr-badge:end

HTML

<!-- oscr-badge:start -->
<a href="https://openscicode.org/badge/doi/10.1016/j.crmeth.2023.100681"><img src="https://openscicode.org/badge/doi/10.1016/j.crmeth.2023.100681.svg" alt="OSCR"></a>
<!-- oscr-badge:end -->

Or let it be kept for you, once you choose it: oscr badge --write from the command line, or the GitHub Action in your repository's workflows. Every other form is on the badge page.

Request its removal

To ask for this record, the copies of its authors' scripts or its tracing map to be removed, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).