Grace Leslie, Visiting Scientist, MIT Media Lab
Enrollment: Limited: Advance sign-up required
Sign-up by 01/06
Limited to 15 participants
Attendance: Participants must attend all sessions
Prereq: None required, but cognitive science or programming helpful
This project-based course will provide students with a basic understanding of neurofeedback and brain-computer interface systems using EEG (electroencephalography). Lectures will cover the design of brain-computer interface (BCI) systems, an introduction to EEG sensing and analysis, design of real-time generative media feedback, and applications of BCI for healthy and physically or neurologically disabled users. Students from complementary disciplines will be assigned to groups of 3 for hands-on development projects working towards the creation of a new BCI concept. Projects will be completed using Max/MSP and Jitter using custom software frameworks developed for the class; hacking and contribution will be encouraged!
There are no specific prerequisites, but students with experience in one of the following areas are encouraged to apply: cognitive science, computer programming for digital media, real-time digital music or video software.
Sponsor(s): MIT-SUTD Collaboration
Contact: Grace Leslie, gleslie@mit.edu
| Jan/09 | Mon | 09:00AM-12:00PM | E15-341 (TBC), bring laptop w/Bluetooth. |
| Jan/11 | Wed | 09:00AM-12:00PM | E15-341 (TBC), bring laptop w/Bluetooth. |
| Jan/13 | Fri | 09:00AM-12:00PM | E15-341 (TBC), bring laptop w/Bluetooth. |
| Jan/18 | Wed | 09:00AM-12:00PM | E15-341 (TBC), bring laptop w/Bluetooth. |
| Jan/20 | Fri | 09:00AM-12:00PM | E15-341 (TBC), bring laptop w/Bluetooth. |
Helpful to download Max/MSP 30-day trial and try it out before class starts.