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Here we are! The main idea is to who how we can build up a functional brain network from a EEG recording database, then visualize some network features in the brain network. So let's star! (Since v. R2015b and henceforth)
将视频中的人脸更换为指定照片中的人脸,并且输出视频。
Statistical code from the paper "Distinct body mass index trajectories to young-adulthood obesity and their different cardiometabolic consequences"
Archive of Many Outdoor Scenes based in the East Coast at GWU
The code and data files that accompany a 9-part lecture series on analyzing M/EEG/LFP data.
Materials for UC Berkeley Neuroscience 299
The asympPDC Package is a MATLAB and Octave package for Partial Directed Coherence (PDC) and Directed Transfer Function (DTF) estimation with asymptotic statistics, allied functions and routines for Granger Causality Test and results pretty plotting.
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
《R语言数据可视化之美》配套代码
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
The current repository contains an implementation of the Brain-Heart Interaction model proposed by Catrambone et al in 2019 ("Time-Resolved Directional Brain–Heart Interplay Measurement Through Synthetic Data Generation Models").
Codes repository for the computation of consciousness scores using brain-heart coupling information
Deep learning software to decode EEG, ECG or MEG signals
The experimental script and analysis code that were used for the ms, "Cardiac Activity Impacts Cortical Motor Excitability" can be found here.
Python Cardioception Package - Measuring interoceptive performance with Psychopy
Data and code for the cardioception method paper
Functions for calculating information theory measures from time-series
RSFC node set used in Chan et al. 2014 PNAS
Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithms
CNCH Gabor Task Psychtoolbox code
This repository includes R code for reproducing Figure 2 and 3, Table 1 to 3, Web Table 1 to 6, and Web Figure 1 in the paper [Li F, Chen X, Tian Z, Esserman DA, Heagerty PJ, Wang R. Planning Three-Level Cluster Randomized Trials to Assess Treatment Effect Heterogeneity. Under Review.]
Data and analysis for 'Machine Bias'
Matlab code used in the practical tutorial on drift-diffusion models at TNU - Computational Psychiatry Course Zurich 2022.
Code and website accompanying Farrell & Lewandowsky's (2017) book
PTB paradigm for evidence integration experiments
Matlab and Python scripts for calculating functional coupling between time series data
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.