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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.

Meet the Team

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?

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

Section 2: The Action Potential

Section 3: Sensory Systems

Section 4: Motor Systems

Module 3: Working with fMRI Data

Section 1: Overview/Biological Basis of fMRI

Section 2: Intro to fMRI Data

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

Section 3: Analyzing fMRI Data

  • Lesson 9: Signals Primer
    • Lesson 9 Notebook: Open In Colab
  • Lesson 10: Single Voxel Modeling
    • Lesson 10 Notebook: Open In Colab

Module 4: Working with EEG Data

Section 1: What is EEG?

Section 2: EEG Signal Processing

Section 3: Data Analysis in Python

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

Spring 2020 Lectures

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