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Matlab codes from our Neuroimage paper
UB DataScience Project
Extracted EEG features
Matlab/octave code for all three forms of partial directed coherence (PDC) and directed transfer function (DTF)with asymptotic statistics for null hypothesis testing for multivariate single-segment analysis of connectivity..
A curated list of awesome deep learning applications in the field of computational biology
Materials for the Intro to BCI course
An unofficial github repository for the Brain Connectivity Toolbox
Brainstorm plug-ins for MEG and EEG source imaging, including (1) maximum contrast beamformer (MCB) for the use in localization of brain sources, (2) spatiotemporal imaging of linearly-related source components (SILSC) for the use in identification of sources linearly correlated to the activity of a seed, and (3) beamformer-based imaging of phase-amplitude coupling (BIPAC) for the use in identification of sources coupled to seed activity.
Predicting neuro-development scores using deep convolutional neural networks on brain network graphs
Visualization method for Convolutional Neural Networks on Graphs for functional connectivity
A deep learning toolbox to decode raw time-domain EEG.
Real-time EEG source localization based on Smarting mBrainTrain EEG headset and implemented in Matlab.
Backward Renormalization Priors and the Cortical Source Localization Problem with EEG or MEG
Wrapper functions for electrophysiological data classification in MATLAB.
Scripts and data shared by Brainstorm users
Connectivity analysis of MEG data
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techniques for analyzing, modelling and understanding the behaviour of cells and circuits in the brain.
Power mapping and functional connectivity using DICS
Repo for Computational and Sensorimotor Neuroscience (CoSMo) 2017
Computational Testing for Automated Preprocessing - a Matlab toolbox extending EEGLAB functionality for batch processing of EEG
Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning
MatLab code for Srpinger book 'Advanced Data Analysis in Neuroscience'
Paper: Degree-based statistic (DBS) and center persistency (CP) for brain connectivity analysis (2016) Human Brain Mapping
Modeling Functional Brain Connectivity: from DTI to EEG
A dynamic functional connectivity module in python.
Dynamic brain connectome analysis toolbox
first version
PyTorch EEG emotion analysis using DEAP dataset
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.