After the Metaverse: An Introduction to Brain-Machine Interfaces - Lucy Fauth - Media.CCC.De
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Overview
This course provides an introduction to brain-machine interfaces, focusing on the biological, technical, and ethical challenges of high-bandwidth direct brain communication. By understanding how electrical signals in the brain can be recorded, decoded, and stimulated, students will learn about different approaches to brain-machine communication. The course covers non-invasive, partially invasive, and invasive methods, highlighting current engineering challenges and the importance of increasing the bandwidth of interaction with computers. Upon completion, students will have the skills to comprehend the workings of neurons, brain structure, and the engineering behind brain-machine interfaces. The course is intended for individuals interested in exploring the future of human-computer interaction and technology enthusiasts looking to delve into open-source projects related to brain-machine interfaces.
Syllabus
Introduction
Why is it important to communicate
How do neurons work
Brain structure
minimally invasive brain machine interfaces
Utah Array
Neuralink
Workflow
Neuroink
Moores Law
Questions
Neuralink Implant
Complications
How the brain is adaptive
How the decoding works
Funding
Accelerated lifetime testing
Upgradability
Scar tissue
Taught by
media.ccc.de