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eeg_fConn

imported

software/eeg-fconn

Python library to compute functional connectivity measures from EEG

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

eeg_fConn project image
GitHub preview card for 5a7man/eeg_fConn. 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
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
coherence · computational-neuroscience · cross-correlation · eeg · eeg-analysis · eeg-signals · functional-connectivity · imaginary-coherence · neuroscience · phase-lag-index · phase-locking-value · python3
Regulatory
unknown
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.

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  • hu-neuro-pipelineeeg · eeg-analysis · eeg-signals · neuroscience

    Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin

  • controlCartographycomputational-neuroscience · functional-connectivity

    Code for: "Flexible coordinator and switcher hubs for adaptive task control". Cocuzza et al., 2020 (In Press). Journal of Neuroscience.

  • Complete-Neural-Signal-Analysiscomputational-neuroscience · eeg · neuroscience

    Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

  • Sans-Tracaseeg · eeg-analysis · eeg-signals · neuroscience

    An Interactive Cross-Platform tool to run Online EEG Experiments using Web-Bluetooth and the Muse EEG headset.

sources
  1. api.github.com/repos/5a7man/eeg_fConn
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-10-14, 12 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["eeg-fconn"]

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