Topic: meg Goto Github
Some thing interesting about meg
Some thing interesting about meg
meg,🖥 MSI MEG Z490I UNIFY + i9-10850k + Radeon RX5500 XT Hackintosh EFI(OpenCore)
User: 0x676e67
meg,Python package for power mapping and functional connectivity using DICS
Organization: aaltoimaginglanguage
Home Page: https://aaltoimaginglanguage.github.io/conpy/
meg,Convolution dictionary learning for time-series
Organization: alphacsc
Home Page: https://alphacsc.github.io/
meg,A curated list of awesome neuroscience libraries, software and any content related to the domain.
User: analyticalmonk
Home Page: http://akashtandon.com/awesome-neuroscience/
meg,Automated rejection and repair of bad trials/sensors in M/EEG
Organization: autoreject
Home Page: https://autoreject.github.io
meg,A collection of special paths linked to common sensitive APIs, devops internals, frameworks conf, known misconfigurations, juicy APIs ..etc. It could be used as a part of web content discovery, to scan passively for high-quality endpoints and quick-wins.
User: ayoubfathi
meg,MATLAB / Octave tools for BIDS datasets
Organization: bids-standard
Home Page: https://bids-matlab.readthedocs.io
meg,Estimation, analysis and decomposition of brainwave spatiotemporal dynamics
Organization: brain-modelling-group
meg,Deep learning software to decode EEG, ECG or MEG signals
Organization: braindecode
Home Page: https://braindecode.org/
meg,Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
Organization: brainstorm-tools
Home Page: http://neuroimage.usc.edu/brainstorm
meg,
User: christianbrodbeck
Home Page: eelbrain.readthedocs.io
meg,Artifact Subspace Reconstruction for Python
User: digyt
meg,An easy to use decoding toolbox for Matlab users.
User: dlopezg
meg,The MATLAB toolbox for MEG, EEG and iEEG analysis
Organization: fieldtrip
Home Page: http://www.fieldtriptoolbox.org
meg,Parameterizing neural power spectra into periodic & aperiodic components.
Organization: fooof-tools
Home Page: https://fooof-tools.github.io/
meg,Python + EEG/MEG = PyEEG
User: forrestbao
meg,Repository for the hmp python package
User: gweindel
meg,The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.
Organization: jonescompneurolab
Home Page: http://hnn.brown.edu
meg,Simulation and optimization of neural circuits for MEG/EEG source estimates
Organization: jonescompneurolab
Home Page: https://jonescompneurolab.github.io/hnn-core/
meg,A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG
Organization: learn-neuroimaging
Home Page: https://learn-neuroimaging.github.io/hitchhackers_guide_brain/
meg,EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code
User: lukethehecker
meg,A dynamic connectome mapping module in python.
User: makism
meg,MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Organization: mne-tools
Home Page: https://mne.tools/mne-bids/
meg,MNE-CPP: A Framework for Electrophysiology
Organization: mne-tools
Home Page: https://mne-cpp.org/
meg,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Organization: mne-tools
Home Page: https://mne.tools
meg,🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
User: nbara
Home Page: https://nbara.github.io/python-meegkit/
meg,MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data
User: neurofractal
Home Page: https://neurofractal.github.io/PACmeg/
meg,Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data
User: nmningmei
meg,OHBA Software Library - MEG/EEG Analysis Tools
Organization: ohba-analysis
Home Page: https://osl.readthedocs.io/en/latest/
meg,A list of openly available datasets in (mostly human) electrophysiology.
Organization: openlists
meg,A list of openly available software tools for (mostly human) electrophysiology.
Organization: openlists
meg,A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.
Organization: openmeeg
Home Page: http://openmeeg.github.io
meg,Methodological considerations for analyzing and interpreting neural oscillations.
Organization: oscillationmethods
Home Page: https://oscillationmethods.github.io/
meg,The Multi-Modality Visualization Tool (MMVT) is built for researchers who wish to have a better understanding of their neuroimaging anatomical and spatio-temporal data
User: pelednoam
Home Page: http://mmvt.org
meg,Working repository to turn the COBIDAS guidelines to report methods and results in neuroimaging into a user friendly checklist
User: remi-gau
Home Page: https://ecobidas.readthedocs.io/en/latest/
meg,a laundry list of resources for MRI, fMRI, EEG, MEG...
User: remi-gau
meg,Eye movement and blink-related EEG and MEG artifact correction algorithms
User: rkobler
Home Page: https://bci.tugraz.at
meg,Tools for dealing with neuroimaging data in the BIDS structure
User: robertoostenveld
Home Page: http://bids.neuroimaging.io/
meg,Interface for using finite elements in inverse problems with complex domains
User: sampsapursiainen
meg,EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Organization: sccn
Home Page: https://eeglab.ucsd.edu/
meg,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 suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: data preprocessing, model fitting and connectivity estimation, statistical analysis, visualization, group analysis, and neuronal data simulation.
Organization: sccn
Home Page: https://sccn.ucsd.edu/wiki/SIFT
meg,Brainconn - an R package for visualising brain connectivity data in 2D and interactive 3D
User: sidchop
Home Page: https://sidchop.github.io/brainconn/articles/brainconn.html
meg,SPM (Statistical Parametric Mapping) - Development Version
Organization: spm
Home Page: https://www.fil.ion.ucl.ac.uk/spm/
meg,Analysis scripts for group analysis of MEG data in both Python and MATLAB associated with Andersen, L.M., 2018. Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Representations to an across-Group Source Space Representation. Front. Neurosci. 12. https://doi.org/10.3389/fnins.2018.00006 and Andersen, L. M. Group Analysis in FieldTrip of Time-Frequency Responses: A Pipeline for Reproducibility at Every Step of Processing, Going From Individual Sensor Space Representations to an Across-Group Source Space Representation. Front. Neurosci. 12, (2018). https://10.3389/fnins.2018.00261
User: ualsbombe
meg,Representational Similarity Analysis on MEG and EEG data
User: wmvanvliet
Home Page: https://users.aalto.fi/~vanvlm1/mne-rsa
meg,A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)
User: zitonglu1996
Home Page: https://zitonglu1996.github.io/NeuroRA/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.