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eyeartifactcorrection

imported

software/eyeartifactcorrection

Eye movement and blink-related EEG and MEG artifact correction algorithms

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

record
Category
Software & Systems
Subcategory
unknown
License
LGPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
artifacts · brain-computer-interface · eeg · electroencephalography · magnetoencephalography · meg
Regulatory
unknown
built by · 1

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.

  • braindecodeeeg · electroencephalography · magnetoencephalography · meg

    Deep learning software to decode EEG, ECG or MEG signals

  • mne-arieeg · electroencephalography · magnetoencephalography · meg

    All-resolutions Inference for M/EEG in Python

  • mne-pythoneeg · electroencephalography · magnetoencephalography · meg

    MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

  • mne-bidseeg · electroencephalography · magnetoencephalography · meg

    MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

  • EEG-Brain-Computer-Interface-to-play-Pongbrain-computer-interface · eeg · electroencephalography

    Developed an Electroencephalography(EEG) based Brain Computer Interface to play Pong with brain activity

  • Low-Cost-EEG-Based-BCIbrain-computer-interface · eeg · electroencephalography

    Low Cost Electroencephalogram Based Brain-Computer-Interface

sources
  1. api.github.com/repos/rkobler/eyeartifactcorrection
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2020-06-10, 27 stars, license reported as LGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/16.json→ .entries["eyeartifactcorrection"]

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