Lessons

Clear search and reset the filters
Introduction to EEG in MATLAB
Course:
Module 2: EEG

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
Electrode positions in 2D and 3D
Course:
Module 2: EEG

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
Spectral analysis in one channel
Course:
Module 2: EEG

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
Spectral power from all channels
Course:
Module 2: EEG

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
Topographical maps of steady-state visual evoked potential study (SSVEP)
Course:
Module 2: EEG

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
Endogenous alpha
Course:
Module 2: EEG

 

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
Correlate alpha with steady-state visual evoked potential (SSVEP)
Course:
Module 2: EEG

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
CaImAn for optical physiology processing and analysis
Course:
Introduction to Neurodata Without Borders (NWB) for Python users II

Overview of the CaImAn package, and demonstration of usage with NWB

Difficulty level: Intermediate
Duration: 44:37
Speaker: : Andrea Giovannucci
SpikeInterface for building seamless extracellular electrophysiology processing pipelines
Course:
Introduction to Neurodata Without Borders (NWB) for Python users II

Overview of the SpikeInterface package, including demonstration of data loading, preprocessing, spike sorting, and comparison of spike sorters

Difficulty level: Intermediate
Duration: 1:10:28
Speaker: : Alessio Buccino
NWBWidgets for inteactively exploring NWB files
Course:
Introduction to Neurodata Without Borders (NWB) for Python users II

Overview of the NWBWidgets package, including coverage of different data types, and information for building custom widgets within this framework

Difficulty level: Intermediate
Duration: 47:15
Speaker: : Ben Dichter