———- Forwarded message ———-
From: Rajesh Rao <rao@cs.washington.edu>
Date: Sun, Mar 4, 2012 at 2:18 PM
Subject: New course this Spring: Introduction to Brain Computer Interfacing (CSE 599E)
TITLE: Introduction to Brain Computer Interfacing (CSE 599E, SLN 12585)
OPEN TO:
Grad students from all colleges.
Advanced undergraduates with permission of instructor.
TIME: Spring quarter, Tue-Thu 10:30-11:50am
DESCRIPTION:
Can the brain directly exert control over external objects? Can
information from the outside world be directly relayed to the brain
without using our sensory organs? Can our mental and physical
capabilities be augmented beyond the limits imposed by biological
evolution? These are some of the questions we will explore as we delve
into the emerging world of brain computer interfacing. We will learn
about invasive and non-invasive brain-computer interfaces (BCIs) for
controlling cursors, prosthetic arms, wheelchairs, and robotic
avatars. We will learn how such BCIs are enabling communication in
locked-in patients and helping restore movement and mobility in
paralyzed and disabled persons. We will also learn about other
applications of BCI technology such as security, lie detection,
alertness monitoring, entertainment, gaming, education, and human
augmentation.
The course will be self-contained and include primers on neuroscience,
signal processing, and machine learning, followed by specific case
studies of BCIs based on multi-neuronal activity, electrocorticography
(ECoG), and electroencephalography (EEG). The course is directed at
graduate students and advanced undergraduates from the physical
sciences (e.g., computer science, engineering, physics, mathematics)
and the life sciences (e.g. neuroscience, biology, psychology).
CREDITS: 3
WORKLOAD AND GRADING
Detailed notes in the form of book chapters will be provided for all
topics covered. Students will be graded based on their presentation of
a selected BCI research paper, a Matlab-based homework involving
analysis of brain data, and a final team project involving
implementation and testing of a simple closed-loop BCI system.
PREREQUISITES
Basic calculus, linear algebra, discrete probability and statistics,
some familiarity with Matlab.