Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.4%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: juhanikataja
- License: other
- Language: Julia
- Default Branch: master
- Size: 251 KB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
License
Citation
README.md
LTDTMS.jl: A probabilistic LTDTMS-model integrator for TMS activation localization
LTDTMS.jl is an octree-based integrator for location-threshold-direction TMS (LTDTMS) localization model.[^1]
Note: This software package implements a method which is being patented.
[^1]: Kataja, Juhani; Soldati, Marco; Matilainen, Noora; Laakso, Ilkka, A probabilistic transcranial magnetic stimulation localization method, Journal of Neural Engineering, Aug. 2021, Vol. 18, No. 4, IOP Publishing, p. 0460f3
For examples see, examples/.
Owner
- Login: juhanikataja
- Kind: user
- Repositories: 46
- Profile: https://github.com/juhanikataja
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Kataja"
given-names: "Juhani"
orcid: "https://orcid.org/0000-0002-1212-0080"
title: "Probabilistic LTD-TMS localization integrator"
version: 0.9
date-released: 2022-10-10
url: "TBA"
preferred-citation:
type: article
authors:
- family-names: "Kataja"
given-names: "Juhani"
orcid: "https://orcid.org/0000-0002-1212-0080"
- family-names: "Ilkka"
given-names: "Laakso"
orcid: "https://orcid.org/0000-0002-8162-1356"
- family-names: "Soldati"
given-names: "Marco"
- family-names: "Matilainen"
given-names: "Noora"
doi: "10.1088/1741-2552/ac1f2b"
journal: "Journal of Neural Engineering"
volume: 18
number: 4
year: 2021