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SIFT

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software/sift

SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a…

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

SIFT project image
GitHub preview card for sccn/SIFT. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-2.0(osi)
Status
dormant
Maturity
deployed
Organization
sccn
Country
unknown
Documentation
unknown
Tags
causality · connectivity · eeg · eeglab · meg · neural
Regulatory
unknown
built by · 4

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.

  • PACmegconnectivity · eeg · meg · neural

    MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data

  • conpyconnectivity · meg

    Python package for power mapping and functional connectivity using DICS

  • NNCPRneural

    Practical Applications of Deep Learning: Classifying the most common categories of plain radiographs in a PACS using a neural network (NNCPR)

  • dyconnmapconnectivity · eeg

    A dynamic connectome mapping module in python.

  • Predicting Workload in Virtual Flight Simulations using EEG Spectral and Connectivity Features

  • happyFeatconnectivity · eeg

    A framework for simplying BCI workflow in clinical applications

sources
  1. api.github.com/repos/sccn/SIFT
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-08-02, 42 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as GPL-2.0, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/19.json→ .entries["sift"]

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