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EEGRAPH

imported

software/eegraph

EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.

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

EEGRAPH project image
GitHub preview card for ufvceiec/EEGRAPH. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
ufvceiec
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
connectivity-measures · eeg · eeg-signals · graph · 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.

  • Athenaeeg · eeg-signals

    ATHENA (Automatic Toolbox for Handling Experimental Neural Analysis)

  • AugmentedBCIFrameworkeeg · eeg-signals

    The UniPA BCI Framework is an Augmented Brain-Computer Interface framework based on the P300 paradigm with further additional modules to perform the acquisition of eye gaze and physiological features.

  • BDF.jleeg · eeg-signals

    Module to read Biosemi BDF files with the Julia programming language

  • bossdevice-api-matlabeeg · eeg-signals

    sync2brain's bossdevice RESEARCH Application Programmable Interface (API) for MATLAB

  • CSP-Pythoneeg · eeg-signals

    Python implementation of the CSP algorithm

  • EEG-BayesianCNNeeg · eeg-signals

    This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.

sources
  1. api.github.com/repos/ufvceiec/EEGRAPH
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-13, 169 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 →

machine-readable

/v1/entries/45.json→ .entries["eegraph"]

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