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Thursday, January
23rd
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Brain-Computer
Interfaces for Communication
Erin
Michelle Kunz, PhD Candidate
Stanford University
- Neural Prosthetics Translational Laboratory |
Abstract: Brainstem trauma or
neurodegenerative diseases can often result in the inability to move or speak,
despite intact cognition. The inability to communicate often results in
severely decreased quality of life for individuals living with these
conditions. Our recent work has shown that brain-computer interfaces (BCIs),
can employ neural signals to accurately decode attempted handwriting and speech
at speeds that begin to enable naturalistic conversation, and thus improve
quality of life.
Biosketch: Erin Michelle
Kunz is currently an electrical engineering PhD Candidate in the
Stanford Neural Prosthetics Translational
Lab (NPTL) with Professors Jaimie Henderson and Shaul Druckmann (and
formerly Professor Krishna Shenoy). Her research focuses on developing
high-performance speech neuroprosthesis as well as understanding the neural
basis of speech and language.
Erin received her BS in Mechanical
Engineering and Electrical Engineering & Computer Science (EECS) from UC
Berkeley and Master’s in Electrical Engineering at Stanford. Prior to
joining NPTL and BrainGate she worked as a software engineer in autonomous
vehicle development at General Motors.
- Contact
Information:
- Erin
Kuns
- Lecture Material:
- Pre-lecture slides - Mb pdf
file
- Slides - Mb pdf
file
- Links:
- A high-performance
speech neuroprosthesis
- Design
and development of a high-performance intra-cortical speech BCI
- Q&A:
Using software engineering to bring back speech in ALS
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