mvpalab
importedsoftware/mvpalab
An easy to use decoding toolbox for Matlab users.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/dlopezg/mvpalab
- Documentation
- unknown
- Tags
- analysis · artificial-intelligence · brain · classification · decoding · eeg · eeglab · fieldtrip
- 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.
- NeuroRAclassification · decoding · eeg
A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Representational Similarity Analysis (RSA), & Inter-Subject…
- analyse_OPMEGeeg · fieldtrip
Nic & Rob's lair of scripts to analyse OPM data, using the Fieldtrip toolbox
- eegsyntheeg · fieldtrip
Converting real-time EEG into sounds, music and visual effects
- infant-cluster-effectsizeeeg · fieldtrip
Enhancing reproducibility in developmental EEG research by using BIDS, cluster-based permutation tests, and reporting effect sizes
- HTNet_generalized_decodingdecoding · eeg
ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: https://doi.org/10.1088/1741-2552/abda0b.
- m4ddecoding · eeg
How EEG preprocessing shapes decoding performance
- api.github.com/repos/dlopezg/mvpalabretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-06-17, 32 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/44.json→ .entries["mvpalab"]
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