Steven Chase is a professor in the Department of Biomedical Engineering at Carnegie Mellon University. Chase uses brain-computer interfaces to study motor learning and skill acquisition. His work stands to provide a better understanding of how movement information is represented in networks of neurons in the brain and will inform the development of neural prosthetics.
Chase was a Wimmer Faculty Fellow in 2013-14 and the recipient of a National Institutes of Health Individual National Research Service Award in 2002. His work has been supported by the NIH, DARPA, and the Craig H. Neilsen Foundation.
Designing Brain-Computer Interfaces to Understand Motor Learning & Control
Three-million dollar grant to fund study of internal states in the brain
Steve Chase, Matt Smith, and Byron Yu were recently awarded a $3 million grant from the NSF to support research investigating internal states in the brain, including motivation, attention, and arousal, using brain-computer interfaces.
Chase research on “choking under pressure” featured
Research from BME’s Steven Chase on the “choking under pressure” phenomenon in rhesus monkeys has been featured in Ars Technica, Nerdist, The Daily Mail, and Technology Networks.
Research sheds new light on decreased performance under pressure
Researchers at Carnegie Mellon University and the University of Pittsburgh explore the phenomenon of choking under pressure and show for the first time that animals also exhibit this strange tendency.
He and colleagues receive NIH/NIBIB Neural Interfacing Training Grant
BME’s Bin He and his team were recently awarded an NIH/NIBIB Predoctoral Training Grant on Neural Interfacing. Over the next five years, the grant will fund the effort to establish an integrative Neural Interfacing graduate training program at Carnegie Mellon University. Other investigators of the grant are Marlene Behrmann, Steve Chase, and Matt Smith.
Connecting the dots between engagement and learning
New research from Carnegie Mellon University and the University of Pittsburgh examines how changes in internal states, such as engagement, can affect the learning process using BCI technology.
Stabilizing brain-computer interfaces
New research will drastically improve brain-computer interfaces and their ability to remain stabilized, greatly reducing the need to recalibrate these devices during or between experiments.
Brain changes when mastering new skills
Mastering a new skill—whether a sport, an instrument, or a craft—takes time and training. While it is understood that a healthy brain is capable of learning these new skills, how the brain changes in order to develop new behaviors is a relative mystery.
Chase quoted in Reuters on Stanford BCI experiment
BME’s Steve Chase was quoted in Reuters on a recent experiment performed by Stanford University. While previous experiments have had some success using brain sensors paired with customized computers to help paralyzed patients type up to eight words a minute, the article says, the current test focused on making it possible for these patients to use tablets and smartphones right out of the box without any special modifications.
Yu and Chase quoted in Quanta on roadblocks to learning
Byron Yu and Steve Chase were quoted in Quanta Magazine about their research on how the brain reused old neural patterns when learning new tasks.
The learning brain is less flexible than we thought
New research from CMU and Pitt reveals that when learning a new task, the brain is less flexible than previously thought.
NSF CAREER awards
The NSF Faculty Early Career Development (CAREER) Program is a foundation-wide initiative, offering prestigious awards to encourage faculty early in their careers to serve as role models in research and education, and to build the foundation for a lifetime of leadership in their field.
Professorships and fellowships
Congratulations to the College of Engineering faculty members who were recently awarded fellowships and professorships.