PACmeg
importedsoftware/pacmeg
MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- neurofractal.github.io/PACmeg/
- Repository
- github.com/neurofractal/PACmeg
- Documentation
- unknown
- Tags
- connectivity · eeg · meg · neural · oscillation · phase-amplitude-coupling · time-series
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- SIFTconnectivity · eeg · meg · neural
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…
- 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.
- Flight-Sim-Cognitive-Workload-EEG-Predictionconnectivity · eeg
Predicting Workload in Virtual Flight Simulations using EEG Spectral and Connectivity Features
- happyFeatconnectivity · eeg
A framework for simplying BCI workflow in clinical applications
- api.github.com/repos/neurofractal/PACmegretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2020-06-03, 39 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 →
/v1/entries/54.json→ .entries["pacmeg"]
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