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seizure type classification using TUH dataset
Gerster et al. 2022. "Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations."
An algorithm for unsupervised discovery of sequential structure
MATLAB toolbox to perform empirical Bayes shrinkage on rs-fMRI connectivity matrices for subject-level parcellation
Implementations both in R and Matlab of SIMLR (https://www.nature.com/articles/nmeth.4207) and CIMLR (https://www.biorxiv.org/content/early/2018/02/16/267245) Multi-kernel LeaRning methods.
Deep Whole Brain Segmentation Using SLANT Method
Multi-platform, free open source software for visualization and image computing.
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data
Frequency domain functional and directed connectivity analysis tools for electrophysiological data
This toolbox includes MATLAB scripts to perform a "spin test" of anatomical correspondence between cortical surface maps, as presented in "On testing for spatial correspondence between maps of human brain structure and function," Alexander-Bloch et al., NeuroImage, 2018.
Simulating neural time series, spectrogram parameterization (using SPRiNT), Wilson, L. E., da Silva Castanheira, J., & Baillet, S. (2022). Time-resolved parameterization of aperiodic and periodic brain activity. Elife, 11, e77348.
Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior. Nat Commun 2022, 673.
Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Code supporting Suarez et al., Learning function from structure in neuromorphic networks. Nat Mach Intell 3, 771–786 (2021).
Supervertex clustering for the parcellation of the cerebral cortex
Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020
Contrast-agnostic segmentation of MRI scans
TMS Adaptable Auditory Control
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
TE-dependent analysis of multi-echo fMRI
Phase-Amplitude Coupling under Python
Resting State Dynamics Meets Anatomical Structure: Temporal Multiple Kernel Learning (tMKL) Model
Scripts and matlab files to identify an optimal TMS target using fMRI data and e-field modelling.A generalized workflow for conducting electric field–optimized, fMRI-guided, transcranial magnetic stimulation. Nature protocols, 15(11), 3595-3614. 2020
No Longer Maintained
Analysis tools for quantitative MRI and in-vivo histology using MRI (hMRI)
Open-Source MATLAB toolbox for transfer entropy estimation
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.