Lesson type
Difficulty level
Course:
In this module, you will work with human EEG data recorded during a steady-state visual evoked potential study (SSVEP, aka flicker). You will learn about spectral analysis, alpha activity, and topographical mapping. The MATLAB code introduces functions, sorting, and correlation analysis.
Difficulty level: Intermediate
Duration: 8:51
Speaker: : Mike X. Cohen
Course:
In this module, you will work with human EEG data recorded during a steady-state visual evoked potential study (SSVEP, aka flicker). You will learn about spectral analysis, alpha activity, and topographical mapping. The MATLAB code introduces functions, sorting, and correlation analysis.
Difficulty level: Intermediate
Duration: 12:16
Speaker: : Mike X. Cohen
Course:
In this module, you will work with human EEG data recorded during a steady-state visual evoked potential study (SSVEP, aka flicker). You will learn about spectral analysis, alpha activity, and topographical mapping. The MATLAB code introduces functions, sorting, and correlation analysis.
Difficulty level: Intermediate
Duration: 13:39
Speaker: : Mike X. Cohen
Course:
In this module, you will work with human EEG data recorded during a steady-state visual evoked potential study (SSVEP, aka flicker). You will learn about spectral analysis, alpha activity, and topographical mapping. The MATLAB code introduces functions, sorting, and correlation analysis.
Difficulty level: Intermediate
Duration: 12:34
Speaker: : Mike X. Cohen
Course:
In this module, you will work with human EEG data recorded during a steady-state visual evoked potential study (SSVEP, aka flicker). You will learn about spectral analysis, alpha activity, and topographical mapping. The MATLAB code introduces functions, sorting, and correlation analysis
Difficulty level: Intermediate
Duration: 9:10
Speaker: : Mike X. Cohen
Course:
In this module, you will work with human EEG data recorded during a steady-state visual evoked potential study (SSVEP, aka flicker). You will learn about spectral analysis, alpha activity, and topographical mapping. The MATLAB code introduces functions, sorting, and correlation analysis.
Difficulty level: Intermediate
Duration: 13:23
Speaker: : Mike X. Cohen
Course:
In this module, you will work with human EEG data recorded during a steady-state visual evoked potential study (SSVEP, aka flicker). You will learn about spectral analysis, alpha activity, and topographical mapping. The MATLAB code introduces functions, sorting, and correlation analysis.
Difficulty level: Intermediate
Duration: 12:36
Speaker: : Mike X. Cohen
Course:
EEGLAB is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data. EEGLAB runs under Linux, Unix, Windows, and Mac OS X.
Difficulty level: Beginner
Duration: 15:32
Speaker: : Arnaud Delorme
Course:
Difficulty level: Beginner
Duration: 9:20
Speaker: :
Course:
Difficulty level: Beginner
Duration: 5:08
Speaker: :
This lecture on generating TVB ready imaging data by Paul Triebkorn is part of the TVB Node 10 series, a 4 day workshop dedicated to learning about The Virtual Brain, brain imaging, brain simulation, personalised brain models, TVB use cases, etc. TVB is a full brain simulation platform.
Difficulty level: Intermediate
Duration: 1:40:52
Speaker: : Paul Triebkorn
Course:
This module covers many of the types of non-invasive neurotech and neuroimaging devices including Electroencephalography (EEG), Electromyography (EMG), Electroneurography (ENG), Magnetoencephalography (MEG), functional Near-Infrared Spectroscopy (fNRIs), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and Computed Tomography
Difficulty level: Beginner
Duration: 13:36
Speaker: : Harrison Canning