1.
Home
2.
Python Basics
3.
Important Python Libraries
4.
Intro to Neuroscience and EEGs
4.1.
What is EEG
4.2.
Strengths and weaknesses of EEG
4.3.
Active Reference Ground
4.4.
ADC
4.5.
What is ERP
4.6.
How are ERPs generated
4.7.
ERP components
4.8.
Cleaning your data
4.9.
Oscillations
4.10.
Filtering
4.11.
Citations
5.
Intro to Experimental Design
5.1.
Electrode Placement
5.2.
Impedance, Skin Potentials, Sweat
5.3.
Importance of Clean Data
5.4.
Noise
5.5.
Event Codes and Epoching
5.6.
Additional Concerns
5.7.
Literature Review
5.8.
Citations
6.
EEG Data Processing
6.1.
Signal Processing Pipeline
6.2.
Data Processing
6.3.
Environment Setup
6.4.
Epoching
6.5.
Feature Extraction
6.6.
Classifier
7.
BCI Pipeline
7.1.
Introduction
7.2.
Pipeline Steps
7.3.
Adding Hardware
7.4.
Example: Robotic Arm Pipeline
8.
Machine Learning for Neurotechnology
8.1.
Introduction
8.2.
Feature Extraction
8.3.
Machine Learning Models Used in Neurotechnology
9.
Past Projects
9.1.
Dino Game
9.2.
Expanding the P300 Oddball Paradigm for a Versatile BCI System with Macro Command Input
9.3.
Maximizing Learning Potential: An EEG-based Haptic Feedback BCI Solution for Improving Student Focus
9.4.
Controllerless Basketball Game using EEG-Based BCI: A Novel Approach for Virtual Reality Gaming
9.5.
Approach to Stress Detection and Alleviation using EEG-Based BCI with Targeted Music Therapy
10.
Lectures and Workshops
11.
Learning Resources
Light (default)
Rust
Coal
Navy
Ayu
Neurotech@Davis Wiki
BCI Pipeline
Making cool connections...