FingerFlex
importedsoftware/fingerflex
FingerFlex: a new state of the art model for prediction finger movements from brain activity (ECoG).
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- arxiv.org/abs/2211.01960
- Repository
- github.com/Irautak/FingerFlex
- Documentation
- unknown
- Tags
- bci · brain-computer-interface · brain-decoding · deep-learning · ecog · finger-movement · neuroscience · time-series
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- mne-denoisebci · brain-computer-interface · neuroscience
mne-denoise provides narrow-band artefact removal tailored to MNE-Python workflows. It wraps harmonic regression techniques to suppress power-line noise and other oscillatory contaminants while…
- mne-rtbci · brain-computer-interface · neuroscience
Real-time M/EEG signal processing
- moabbbci · brain-computer-interface · neuroscience
Mother of All BCI Benchmarks
- neural-signals-101bci · brain-computer-interface · neuroscience
Beginner tutorial: ML & signal processing on neural signals (EEG) in Python — raw recordings to honest evaluation, in runnable notebooks. MIT.
- Analyzing_Neural_Time_Seriesneuroscience · time-series
python implementations of Analyzing Neural Time Series Textbook
- braindecodeecog
Deep learning software to decode EEG, ECG or MEG signals
- api.github.com/repos/Irautak/FingerFlexretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-01-17, 34 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/51.json→ .entries["fingerflex"]
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