1. 1. Home
  2. 2. Development Environment Setup
    1. 2.1. OpenBCI GUI
    2. 2.2. The Terminal
    3. 2.3. Jupyter Notebook
    4. 2.4. VSCode
    5. 2.5. Github and Git
  3. 3. Python Basics
  4. 4. Important Python Libraries
  5. 5. Intro to Neuroscience and EEGs
    1. 5.1. What is EEG
    2. 5.2. Strengths and weaknesses of EEG
    3. 5.3. Active Reference Ground
    4. 5.4. ADC
    5. 5.5. What is ERP
    6. 5.6. How are ERPs generated
    7. 5.7. ERP components
    8. 5.8. Cleaning your data
    9. 5.9. Oscillations
    10. 5.10. Filtering
    11. 5.11. Citations
  6. 6. Intro to Experimental Design
    1. 6.1. Electrode Placement
    2. 6.2. Impedance, Skin Potentials, Sweat
    3. 6.3. Importance of Clean Data
    4. 6.4. Noise
    5. 6.5. Event Codes and Epoching
    6. 6.6. Additional Concerns
    7. 6.7. Literature Review
    8. 6.8. Citations
  7. 7. EEG Data Processing
    1. 7.1. Signal Processing Pipeline
    2. 7.2. Data Processing
    3. 7.3. Environment Setup
    4. 7.4. Epoching
    5. 7.5. Feature Extraction
    6. 7.6. Classifier
  8. 8. BCI Pipeline
    1. 8.1. Introduction
    2. 8.2. Pipeline Steps
    3. 8.3. Adding Hardware
    4. 8.4. Example: Robotic Arm Pipeline
  9. 9. Machine Learning for Neurotechnology
    1. 9.1. Introduction
    2. 9.2. Feature Extraction
    3. 9.3. Machine Learning Models Used in Neurotechnology
  10. 10. Past Projects
    1. 10.1. 2022-2023 Cohort Projects
      1. 10.1.1. Dino Game
      2. 10.1.2. P300 BCI System with Macro Command Input
      3. 10.1.3. Haptic Feedback BCI for Focus
      4. 10.1.4. Controllerless Basketball Game
      5. 10.1.5. Stress Detection_with Targeted Music Therapy
    2. 10.2. 2023-2024 Cohort Projects
      1. 10.2.1. Robotic Arm Movements BCI Controlled By EEG Mental Commands
      2. 10.2.2. Using Steady-State Visually Evoked Potentials to Guide a Drone
      3. 10.2.3. An EEG-Based Music BCI for Enhanced Focus
      4. 10.2.4. P300 ERP Signal Excitation and Analysis
      5. 10.2.5. ...
      6. 10.2.6. ...
      7. 10.2.7. ...
      8. 10.2.8. ...
      9. 10.2.9. ...
    3. 10.3. 2024-2025 Cohort Projects
  11. 11. Lectures and Workshops
  12. 12. Learning Resources

Neurotech@Davis Wiki

Lectures and Workshops

Some lectures may not have recording, those that don't will not have a link.

Lectures

Lecture 1 - Intro to Neurotechnology & BCIs | Recording

Lecture 2 - Intro to Neuroscience & EEGs | Recording

Lecture 3 - The BCI Pipeline | No Recording

Lecture 4 - Intro to Machine Learning | No Recording

Lecture 5 - EEG Signal Preprocessing | Recording

Lecture 6 - EEG Signal Processing | Recording

Workshops

Workshop 1 - OpenBCI & MUSE Demo

Workshop 2 - EEG Signal Analysis Workshop