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INTERSPEECH 2011
12th Annual Conference of the International Speech Communication Association
Florence, Italy
August 27-31. 2011 |
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Neural Representations of Word Meanings
Tom M. Mitchell
E. Fredkin University;
Machine Learning Department School of Computer Science,
Carnegie Mellon University, Pittsburgh, PA, USA
How does the human brain represent meanings of words and pictures in terms of neural
activity? This talk will
present our research addressing this question, by applying machine learning algorithms to
fMRI and MEG brain image
data. One line of our research involves training classifiers that identify which word a
person is thinking about, based
on their observed neural activity. A second line involves training computational models
that predict the neural activity
associated with arbitrary English words, including words for which we do not yet have
brain image data. A third line of
work involves examining neural activity at millisecond time resolution during the
comprehension of words and
phrases.
Presenter
Professor Tom M. Mitchell is a professor in the E. Fredkin University and head of the
Machine Learning Department at
Carnegie Mellon University. His research interests lie in cognitive neuroscience, machine
learning, natural language
processing, and artificial intelligence. Mitchell is a member of the US National Academy
of Engineering, a Fellow of the
American Association for the Advancement of Science (AAAS), and Fellow and Past President
of the Association for the
Advancement of Artificial Intelligence (AAAI). Mitchell believes the field of machine
learning will be the fastest
growing branch of computer science during the 21st century.
Bibliographic reference.
Mitchell, Tom M. (2011):
"Neural representations of word meanings",
In INTERSPEECH-2011 (abstract).