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

• Deven Navani, VP of Education
• Amy Wang, co-head of Education
• Izzy Baldacci, co-head of Education
• Haya Halabieh, content
• Sooyeon Oh, content
• Julie Nemerson, content
• Milan Filo, content

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 6: Introduction to Machine Learning
• Lecture 7:
• Lecture 8:
• Lecture 9:
• Lecture 10: Clinical Applications (slides) (webcast)
• Lecture 11: Neuroethics (slides) (webcast)
• Lecture 12: Current State of the Field (webcast)

Module #1: The Big Picture

Section #1: What is neurotechnology?

• Lesson #1: Technology that lets you understand the brain
• Lesson #2: Technology that lets you do stuff to the brain
• Lesson #3: Technology that lets you do stuff with the brain

Section #2: Why neurotechnology?

• Lesson #4: Clinical Medicine
• Lesson #5: Cognitive Neuroscience
• Lesson #6: Device Control
• Lesson #7: Enhancement

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