Using EEGLAB to process EEG signal from a subject in a resting-wakeful state with their eyes opened and closed.
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Jan 23, 2021 - MATLAB
Using EEGLAB to process EEG signal from a subject in a resting-wakeful state with their eyes opened and closed.
EEGLAB plugin | spike2EEGGLAB(): load CED Spike format dataset (.mat) and return EEGLAB EEG structure
Processing and analysis code for Bowen, H. J., Fields, E. C., & Kensinger, E. A. (2019). Prior emotional context modulates early event-related potentials to neutral retrieval cues. Journal of Cognitive Neuroscience, 31(11), 1755-1767. https://doi.org/10.1162/jocn_a_01451
BIDS compliant importing and exporting tool for EEGLAB
It features tutorials on using the EEGLAB toolbox and MNE-Python, guiding users through the basics of EEG data handling, pre-processing, and artifact removal.
Preprocessing and analyzing EEG data from a visual oddball task, focusing on P3 ERP components and artifact removal using ICA.
Period Amplitude Analysis (PAA) for slow wave detection using eeglab
General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
ERP Analysis from EEG Data using MATLAB
EEG analyisis on target and non-taget data sets.
This repository contains code for the website of the postgraduate course, PSYC480 (Computational Contemplative-Neuroscience), at University of Canterbury.
MATLAB scripts for preprocessing EEG data using EEGLAB, designed for hospital EEG data with flexible channel montage support, featuring comprehensive processing, validation, and comparative analysis.
Investigating the effect of developmental language disorder (DLD) on the understanding of the quantity system in the Estonian language in Estonian children.
Matlab scripts used in my bachelor thesis on the lateralization of mode processing in music.
Test Factorial Mass Univariate ERP Toolbox (FMUT).
Course Project - Finished.
Neo-EEGLAB Wrapper Toolbox (NEWT) is a library of wrappers over the EEGLAB's basic functions.
This repository contains the .m files used for denoising and removing artifacts in sleep EEG data collected from the Dreem ambulatory device under very noisy conditions. This repository is available for people from Filbey's Lab in University of Texas at Dallas (UTD) https://labs.utdallas.edu/filbeylab/
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