Hi Robin!

For studies in computational neuroscience I would say that a good way to find candidate articles is exploiting ModelDB and looking for interesting models.
It also depends on the scale you are interested in: e.g., circuit simulations or single-neuron.
For inferential reproducibility studies you can also repeat the experiment with different simulators: e.g., Neuron, NEST, Arbor, Brian, etc.

You could also mine the Harvard Dataverse database: e.g., https://dataverse.harvard.edu/dataverse/harvard/?q=%22replication+data%22+AND+%22brain%22

Or take inspiration from published Re-studies: http://rescience.github.io/read/

Thanks for your interest! :-)

Alberto

On 09/11/2021 18:47, Robin Gilbert De Schepper wrote:
Wow! That's an absolutely amazing call for papers! Is there by any chance a list of candidate papers to reproduce, or any way to mine good candidates using informatics tools?

On Tue, 9 Nov 2021, 18:34 Alberto Antonietti, <alberto.antonietti@polimi.it> wrote:

Dear NEST Users,

I take the opportunity to invite you to participate to this call for papers on an important topic, which is reproducibility.
I hope to see your submissions soon!

Are you interested in making neuroscience more reproducible?
Have you already tried to replicate a study?

Are you bothered by the "Data and code are available upon reasonable request"?


If your answer to one of the previous questions is "yes", then you could be interested in this call for papers. With this research topic, we aim to stimulate neuroscientists from all fields to design and publish works that rigorously attempt to reproduce landmarks or controversial studies:

https://www.frontiersin.org/research-topics/26709/reproducibility-in-neuroscience

We are inviting papers on both:
- "Results reproducibility", i.e., obtain the same results from an independent study with procedures as closely matched to the original study as possible;
- "Inferential reproducibility", i.e. draw the same conclusions from either an independent replication, using different research methodologies, of a study or a reanalysis of the original data.

We will consider both confirmatory and negative results, the unique criteria will be the rigorousness, fairness, and soundness of the replication study.

Authors are required to make all materials and methods used to conduct their research available to other researchers. Data and codes used to analyze results must comply with FAIR principles and should preferably be uploaded to an online repository providing a global persistent identifier (e.g., OSF, Harvard Dataverse, Zenodo).
Authors are also strongly encouraged to subject their codes to an independent audit at codecheck.org.uk.

I’m very pleased to be launching a new article collection, Reproducibility in Neuroscience, together with an expert editorial team:
- Alberto Antonietti - Blue Brain Project, Ecole polytechnique fédérale de Lausanne (EPFL), Geneva, Switzerland
- Reeteka Sud - National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
- Nele A Haelterman - Baylor College of Medicine, Houston, United States
- Nafisa M Jadavji - Midwestern University, Glendale, AZ, United States
- Denes Szucs - University of Cambridge, Cambridge, United Kingdom

We’re now in the process of putting together a group of top researchers whose work we’d like to feature in this collection, and we would like you to participate. The research topic is hosted by Frontiers in Integrative Neuroscience, you can find all information here: https://www.frontiersin.org/research-topics/26709/reproducibility-in-neuroscience


Important notice on Publishing Fee (APC) support:
If Frontiers publishing fees are too high for your funding situation, you are eligible for full or partial APC fee support. In order to apply to fee support, please complete the fee support application form online, and allow up to two weeks for Frontiers to review and reply to your request: https://frontiers.qualtrics.com/jfe/form/SV_51IljifwFBXUzY1
More information can be found at: https://www.frontiersin.org/about/fee-policy


Please get in touch if you have any questions - looking forward to hearing from you.
Alberto
On behalf of the Topic Editors.

Mail priva di virus. www.avg.com
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