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franklelechen's Projects

a-simple-tutorial-to-start-with-functional-networks. icon a-simple-tutorial-to-start-with-functional-networks.

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)

alspac-bmi-mixture-model- icon alspac-bmi-mixture-model-

Statistical code from the paper "Distinct body mass index trajectories to young-adulthood obesity and their different cardiometabolic consequences"

amoseast icon amoseast

Archive of Many Outdoor Scenes based in the East Coast at GWU

ants_youtube_videos icon ants_youtube_videos

The code and data files that accompany a 9-part lecture series on analyzing M/EEG/LFP data.

asymppdc icon asymppdc

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.

bayescog_wien icon bayescog_wien

Teaching materials for BayesCog at Faculty of Psychology, University of Vienna

brain-heart-interaction-indexes icon brain-heart-interaction-indexes

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").

brain_heart_doc icon brain_heart_doc

Codes repository for the computation of consciousness scores using brain-heart coupling information

braindecode icon braindecode

Deep learning software to decode EEG, ECG or MEG signals

cardiac_motor_tms_eeg icon cardiac_motor_tms_eeg

The experimental script and analysis code that were used for the ms, "Cardiac Activity Impacts Cortical Motor Excitability" can be found here.

cardioception icon cardioception

Python Cardioception Package - Measuring interoceptive performance with Psychopy

cluster_power icon cluster_power

Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithms

code_3levelhte icon code_3levelhte

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.]

comppsychcourse_zurich2022 icon comppsychcourse_zurich2022

Matlab code used in the practical tutorial on drift-diffusion models at TNU - Computational Psychiatry Course Zurich 2022.

coupling icon coupling

Matlab and Python scripts for calculating functional coupling between time series data

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