https://github.com/berenslab/spikefinder_analysis
Analysis code for the results of the spikefinder challenge
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: biorxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.2%) to scientific vocabulary
Repository
Analysis code for the results of the spikefinder challenge
Basic Info
- Host: GitHub
- Owner: berenslab
- Language: Jupyter Notebook
- Default Branch: master
- Homepage: http://spikefinder.codeneuro.org
- Size: 277 MB
Statistics
- Stars: 12
- Watchers: 5
- Forks: 13
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
spikefinder_analysis
Analysis code for obtaining the results of the spikefinder challenge.
The challenge was running between November 1st, 2016 and May 4th, 2017 organized by Philipp Berens, Jeremy Freeman and Matthias Bethge with support from Lucas Theis, Andreas Tolias and Thomas Euler and their labs.
Results are available as a Jupyter notebook and described in Berens et al. (2017) on bioRxiv.
The award was donated by Zeiss AG.
Owner
- Name: Berens Lab @ University of Tübingen
- Login: berenslab
- Kind: organization
- Email: philipp.berens@uni-tuebingen.de
- Location: Tübingen, Germany
- Website: https://hertie.ai/data-science
- Repositories: 60
- Profile: https://github.com/berenslab
Department of Data Science at the Hertie Institute for AI in Brain Health, University of Tübingen