Alternatives and similar repositories for mne-testing-data

Users that are interested in mne-testing-data are comparing it to the libraries listed below

• mne-tools / mne-qt-browser
  A new backend for the 2D data browser in MNE-Python
  ☆52Updated 2 weeks ago
• wmvanvliet / mne_microstates
  Microstate analysis for use with MNE-Python
  ☆56Updated last year
• vferat / pycrostates
  ☆45Updated last week
• Roche / neuro-meeglet
  Complex-valued Morlet wavelets for EEG signal analysis and feature engineering.
  ☆22Updated last year
• neurofractal / fBOSC
  fooof+BOSC: A repository for the robust detection of oscillations at the single-trial level
  ☆26Updated last year
• mne-tools / mne-bids-pipeline
  Automatically process entire electrophysiological datasets using MNE-Python.
  ☆159Updated last week
• lina-usc / pylossless
  🧠 EEG Processing pipeline that annotates continuous data
  ☆40Updated last week
• sappelhoff / eeg_positions
  Compute and plot standard EEG electrode positions.
  ☆74Updated last month
• jonescompneurolab / hnn-core
  Simulation and optimization of neural circuits for MEG/EEG source estimates
  ☆71Updated this week
• openneuro-py / openneuro-py
  A client for accessing OpenNeuro datasets, written in Python.
  ☆73Updated last week
• lcnhappe / happe
  Harvard Automated Pre-Processing Pipeline for EEG
  ☆63Updated 2 years ago
• bycycle-tools / bycycle
  Cycle-by-cycle analysis of neural oscillations.
  ☆94Updated 3 months ago
• lcnbeapp / beapp
  The Batch Electroencephalography Automated Processing Platform (BEAPP)
  ☆39Updated 4 months ago
• mne-tools / dipole-simulator
  Interactive demonstration of how dipole location and orientation affect MEG and EEG sensor signals
  ☆30Updated 3 years ago
• mne-tools / mne-bids
  MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
  ☆162Updated this week
• mne-tools / mne-rsa
  Representational Similarity Analysis on MEG and EEG data
  ☆77Updated last week
• mne-tools / mne-icalabel
  Automatic labeling of ICA components in Python.
  ☆113Updated last week
• coffeine-labs / coffeine
  Covariance Data Frames for Predictive M/EEG Pipelines
  ☆33Updated last year
• john-veillette / mne-ari
  All-resolutions Inference for M/EEG in Python
  ☆21Updated last year
• scot-dev / scot
  EEG/MEG Source Connectivity Toolbox in Python
  ☆66Updated last year
• EtienneCmb / tensorpac
  Phase-Amplitude Coupling under Python
  ☆117Updated last year
• mne-tools / mne-biomag-group-demo
  Group analysis demo with MNE
  ☆24Updated 6 years ago
• natmegsweden / meeg_course
  Imaging in Neuroscience: with a focus on MEG and EEG Methods. Doctoral course at Karolinska Insitutet.
  ☆14Updated 11 months ago
• neuropycon / ephypype
  Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype
  ☆28Updated 6 months ago
• AaltoImagingLanguage / conpy
  Python package for power mapping and functional connectivity using DICS
  ☆38Updated 2 months ago
• sccn / PACTools
  EEGLAB plug-in to compute Phase-Amplitude Coupling using different methods
  ☆42Updated last year
• lucwilson / SPRiNT
  Code for simulating neural time series, spectrogram parameterization (using SPRiNT), and generating figures from the SPRiNT preprint
  ☆44Updated 2 years ago
• mne-tools / mne-lsl
  A framework for real-time brain signal streaming with MNE-Python.
  ☆83Updated this week
• pactools / pactools
  Phase-amplitude coupling (PAC) toolbox
  ☆108Updated 4 years ago
• schmidtfa / pyrasa
  a package for spectral parametrization in python based on the IRASA algorithm
  ☆23Updated 3 months ago