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aarateppipeline

Advanced artifact removal for automated TMS-EEG processing

bids-matlab-tools-testcase

And example for bids-matlab-tools project

burst_detection

cl-phase

Real-time Closed-loop phase-dependent EEG-TMS

dicm2nii_matlab

DICOM to NIfTI conversion, NIfTI tools

dpsleep

Deep Phenotyping of Sleep: Open source pipeline to analyze raw actigraphy data and extract sleep parameters.

ect-mst

eeg-infants-exponent

This repository provides analysis code to analyze longitudinal changes in aperiodic activity in infant EEG data.

gramm

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

lcmm

R package lcmm

magic

Magnetic stimulator interface controller toolbox

phastimate

Zrenner phase estimation

ppi_desideri2019

phase preservation index (PPI) analysis

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

tap

Custom MATLAB code to determine an optimal scalp placement of a TMS coil on the computational model of the subject's head. (1) Optimal coil placement is chosen based on maximizing the TMS-induced electric field in a brain region of interest which is derived from individual fMRI peak activity and computed prospectively for neuronavigation-supported TMS experiments. (2) The code's functionality allows also for accuracy assessment of the coil placement recorded during and analyzed after a TMS session.

targeted-functional-network-stimulation

Code for implementing the Targeted Functional Network Stimulation (TANS) approach described in "Automated optimization of TMS coil placement for personalized functional network engagement", Lynch et al. 2022 (Neuron).

teps-peps

tesa

TMS-EEG signal analyser (TESA) code repository

tms-eeg

tms_targeting_balderston

Scripts and matlab files to identify an optimal TMS target using fMRI data and e-field modelling.

tutorial_neural_time_series_analysis

Mike X Cohen lecturelets on Analyzing Neural Time Series Data: Theory and Practice http://mikexcohen.com/lectures.html

zotero-pmcid-fetcher