https://github.com/ccnmaastricht/cni_toolbox
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: zenodo.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.8%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Basic Info
Statistics
- Stars: 7
- Watchers: 2
- Forks: 5
- Open Issues: 1
- Releases: 10
Topics
Metadata Files
README.md
Computational Neuroimaging Toolbox
The Computational Neuroimaging Toolbox contains tools for estimating input-referred models. Specifically, it includes tools for Fourier analyses of phase-encoded stimuli, population receptive field (pRF) mapping, fast (real-time) pRF mapping and for estimating parameters of generic (user-defined) input-referred models.
This code is hosted at https://github.com/ccnmaastricht/CNI_toolbox The latest version may always be found here.
Matlab implementation
This software was developed with MATLAB R2017a and access to the full suite of MATLAB add-on packages. Some of these packages may be required to run the software.
Installation
Download the toolbox file Computational Neuroimaging Toolbox.mltbx, navigate to the downloaded file within MATLAB and then execute the following command:
MATLAB
matlab.addons.toolbox.installToolbox('computational neuroimaging toolbox.mltbx');
Usage
- Data Handling
- Phase Encoding Analysis
- Population Receptive Field Mapping
- Input Referred Models
- Fast & real-time pRF mapping
Python implementation
This software was developed for Python 3.
Installation
Python
pip install cni_tlbx
Usage
Owner
- Name: Cognitive Computational Neuroscience Group Maastricht
- Login: ccnmaastricht
- Kind: organization
- Website: http://www.ccnmaastricht.com/
- Repositories: 12
- Profile: https://github.com/ccnmaastricht
Studying cognition from the perspective of A.I. and neural computation
GitHub Events
Total
- Watch event: 3
Last Year
- Watch event: 3
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| MSenden | m****n@g****m | 142 |
| mario | M****n | 107 |
| MSenden | m****n@g****m | 14 |
| phaedo7 | p****7@g****m | 5 |
| dependabot[bot] | 4****] | 3 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 11
- Average time to close issues: N/A
- Average time to close pull requests: about 1 month
- Total issue authors: 0
- Total pull request authors: 3
- Average comments per issue: 0
- Average comments per pull request: 0.09
- Merged pull requests: 9
- Bot issues: 0
- Bot pull requests: 5
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
Pull Request Authors
- dependabot[bot] (6)
- MSenden (5)
- salil-maastricht (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 17 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 12
- Total maintainers: 1
pypi.org: cni-tlbx
computational neuroimaging toolbox
- Homepage: https://github.com/ccnmaastricht/CNI_toolbox
- Documentation: https://cni-tlbx.readthedocs.io/
- License: GNU Lesser General Public License v3 (LGPLv3)
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Latest release: 2.2.5
published over 3 years ago
Rankings
Maintainers (1)
Dependencies
- numpy >=1.18.3
- opencv-python >=4.2.0.34
- scipy >=1.4.1
- numpy ==1.21.0
- opencv-python ==4.2.0.34
- scipy ==1.4.1
- numpy >=1.22
- opencv-python >=4.2.0.34
- scipy >=1.4.1