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mne-icalabel

imported

software/mne-icalabel

Automatic labeling of ICA components in Python.

Machine-generated from the listed sources and not yet reviewed by a human.

mne-icalabel project image
GitHub preview card for mne-tools/mne-icalabel. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
mne-tools
Country
unknown
Documentation
unknown
Tags
eeg · ica · neuroscience · python
Regulatory
unknown
built by · 6

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • electroCUDAeeg · ica · neuroscience

    Robust electrophysiology tools with GPU acceleration

  • EEG_to_ERP_pipeline_stats_Reeg · ica · neuroscience

    General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)

  • eegprepeeg · ica

    EEGPrep is an automated preprocessing tool for human EEG data built on a benchmarked EEGLAB pipeline

  • mnelabeeg · ica

    MNELAB – a GUI for MNE-Python

  • online_bci_mieeg · ica

    Real-Time BCI for Rock-Paper-Scissors: Decoding Motor Imagery with Minimal Training

  • ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.

sources
  1. api.github.com/repos/mne-tools/mne-icalabel
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-03, 122 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/27.json→ .entries["mne-icalabel"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.