CS 198-96: Introduction to Neurotechnology (Fall 2020)

Welcome to CS 198-96: Intro to Neurotechnology! This course is run by the Education branch of Neurotechnology @ Berkeley.

Module 1: The Big Picture

Section 1: What is neurotechnology?

• Lesson 1: Neuroimaging (slides) (video)
• Lesson 2: Neuromodulation/Neurostimulation
• Lesson 3: Brain-Computer Interfaces

Section 2: Why neurotechnology?

• Lesson 4: Treat Neurological Disorders (slides) (video)
• Lesson 5: Understand the Brain (slides) (video)
• Lesson 6: Device Control (slides) (video)
• Lesson 7: Human Augmentation (slides) (video)

Section 3: Technologies and Key Players

• Lesson 8: Electroencephalography (EEG)
• Lesson 9: Electromyography (EMG)
• Lesson 10: Magnetic Imaging
• Lesson 11: Invasive Approaches

Section 4: Challenges

• Lesson #12: Bandwidth
• Lesson 13: Implantation
• Lesson 14: Neuroscience knowledge gaps
• Lesson 15: Public Skepticism and Ethics

Module 2: Neuroscience

Section 1: Neuroscience Systems

• Lesson 1: The Nervous System (slides) (video)
• Lesson 2: The brain (slides) (video)
• Lesson 3: Biological Neural Networks (slides) (video)
• Lesson 4: Microstructures of the Brain (slides) (video)

Section 2: The Action Potential

• Lesson 5: An Introduction (slides) (video)
• Lesson 6: Electricity and the Brain (slides) (video)
• Lesson 7: Electrochemical Gradients (slides) (video)
• Lesson 8: Synaptic Transmission (slides) (video)

Section 3: Sensory Systems

• Lesson 9: The Auditory System (slides) (video)
• Lesson 10: The Visual System (slides) (video)
• Lesson 11: The Tactile System (slides) (video)

Section 4: Motor Systems

• Lesson 12: Cortical Motor System and Action Planning (slides) (video)
• Lesson 13: Motor Unit Types (slides) (video)
• Lesson 14: Motor Unit Properties (slides) (video)

Module 3: Working with fMRI Data

Section 1: Overview/Biological Basis of fMRI

• Lesson 1: Brain Activity (slides) (video)
• Lesson 2: Visualizing Brain Activity (slides) (video)
• Lesson 3: Interpreting fMRI (slides) (video)
• Lesson 4: Applications (slides) (video)

Section 2: Intro to fMRI Data

• Lesson 5: What is fMRI Data? (slides) (video)
  • Lesson 5 Notebook:
• Lessons 6: fMRI Dataset Pre-processing and Visualization (slides) (video)
  • Lesson 6.1 Notebook:
  • Lesson 6.2 Notebook:

Section 3: Analyzing fMRI Data

• Lesson 9: Signals Primer
  • Lesson 9 Notebook:
• Lesson 10: Single Voxel Modeling
  • Lesson 10 Notebook:

Module 4: Working with EEG Data

Section 1: What is EEG?

• Lesson 1: EEG Introduction (slides) (video)
• Lesson 2: Brain Waves (slides) (video)
• Lesson 3: EEG Terminologies (slides) (video)
• Lesson 4: Types of EEG Data Analysis (slides) (video)

Section 2: EEG Signal Processing

• Lesson 5: EEG Pre-processing Part 1 (slides) (video)
• Lessons 6: EEG Pre-processing Part 2 (slides) (video)
• Lessons 7: Fourier Transform (slides) (video)
• Lessons 8: Motor Imagery and PSD (slides) (video)

Section 3: Data Analysis in Python

• Lesson 9: EEG Tools and Datasets (video)
• Lesson 10: ERP Experiments (video)
  • Lesson 9 & 10 Notebook:

Spring 2020 Lectures

• Lecture 1: The Big Picture (slides) (webcast)
• Lecture 2: Macro Neuroscience (slides) (webcast)
• Lecture 3: Micro Neuroscience (slides) (webcast)
• Lecture 4: Brain Imaging Techniques (slides) (webcast)
• Lecture 5: Introduction to Signal Processing (webcast)
• Lecture 10: Clinical Applications (slides) (webcast)
• Lecture 11: Neuroethics (slides) (webcast)
• Lecture 12: Current State of the Field (webcast)