Malcolm Slaney (Google) on decoding pitch, rhythmic, imagined, and surprise signals from the brain
Date:
Fri, 10/05/2018 - 10:30am - 12:00pm
Location:
Seminar Room at the Knoll
Event Type:
Hearing Seminar I want to discuss the experiments and results from the Auditory Group at the Telluride Neuromorphic Engineering Cognition Workshop. For many years we have been doing experiments to decode the state of the brain from EEG signals. We’ve been wildly successful at decoding auditory attention, but discovering signals related to expectations, pitch and imagined sounds is harder. This year we succeeded.
Who: Malcolm Slaney (Google)
What Decoding pitch, rhythmic, imagined, and surprise signals from the brain
When: Fri, 10/05/2018 - 10:30am - 12:00pm
Where: Seminar Room at the Knoll
Why: We want to know how the brain processes more ecological signals
EEG (and MEG) signals are often used in experiments by looking at their average response in either the time domain or the frequency domain. At the Telluride Neuromorphic Engineering Cognition workshop we've been looking at decoding the brain signals in real time---making continuous predictions in real time about how the brain is responding to sound. We've had great success understanding and measuring auditory attention from speech signals. At this year's workshop we looked at a number of signals relate to pitch, rhythmic expectations, imagined sounds, and musical tension. I'd like to review some of the experiments that worked (and briefly talk about what didn't work.)
Who: Malcolm Slaney (Google)
What Decoding pitch, rhythmic, imagined, and surprise signals from the brain
When: Fri, 10/05/2018 - 10:30am - 12:00pm
Where: Seminar Room at the Knoll
Why: We want to know how the brain processes more ecological signals
EEG (and MEG) signals are often used in experiments by looking at their average response in either the time domain or the frequency domain. At the Telluride Neuromorphic Engineering Cognition workshop we've been looking at decoding the brain signals in real time---making continuous predictions in real time about how the brain is responding to sound. We've had great success understanding and measuring auditory attention from speech signals. At this year's workshop we looked at a number of signals relate to pitch, rhythmic expectations, imagined sounds, and musical tension. I'd like to review some of the experiments that worked (and briefly talk about what didn't work.)
FREE
Open to the Public