Spring 2017, Psychology 198
In this course we will start from the neuroscience fundamentals and move up. We will augment the instruction with a lab each week, in which you will play with your very own brain-computer interface, understanding the components involved. Through this process you will get a sense of the technology involved, its potential, and its limits.
Brain-computer interfaces are a highly interdisciplinary field, and few students will have a background in all the disciplines, so we will start from the basics. At times, the material will be technically difficult, but to make the class accessible to students of diverse backgrounds, we may gloss over the underlying math in order to focus on applications.
We will build the concepts broadly, and provide plenty of guidance and resources so that you would know where to start to build your own project with brainwaves in the final project, and outside this course.
Basic programming knowledge at the level of CS61A (preferably CS61B). Recommended signals and system knowledge at level of EE16A/B, but not required.
The labs will generally focus on small replications of BCI research papers. The students should read the papers before each lab for maximum efficiency. Before each lab, we will walk through the papers and give a brief demo of the procedure.
We will introduce the final project on Week 9 so students can start thinking and form teams then. The last two labs (Week 11 and Week 12) will be focused on the final project, and will be optional but recommended. In those labs, the teams will have time to work together, and receive help from other teams and teachers. In Week 13, each team will give a 5-10 minute presentation about their project to the rest of the class.
BCIs is very much a science, so not all final projects may succeed in their goal. That’s okay! Recognizing that something is not possible and describing the problem is an important part of science and engineering. As such, we will be lenient in characterizing a final project as “complete”.
Students should skim the BCI research papers before lab. These papers will be posted one week in advance on the course website. Optional reading covering the theory and practice in detail is provided in the course outline below.
Students are graded based on attendance and completion of final project. In order to receive a P in the class, they need to attend at least 8 out 12 Lectures and 7 out of 9 labs (not including final project labs), and complete and present a final project related to Neurotechnology and/or Brain-Computer Interfaces.
We will meet 2 times a week, once for lecture and once for lab. Lecture will be 1 hour of theory and overview, while lab will be 2 hours working on practical applications.