Motor Learning Professors in Global

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Evan Livesey
University of Sydney Australia
learning reasoning
associative learning
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Valerie Irvine
University of Victoria Canada
networked learning
learning design
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Reddy Lab
Princeton University United States of America
learning in artificial systems
machine learning
learning in natural systems
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Jim Glass
Massachusetts Institute of Technology United States of America
cross-modal learning
self-supervised learning
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John O'doherty
California Institute of Technology United States of America
reward-related learning
associative learning
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Sascha Schneider
University of Zurich Switzerland
cognitive learning
social learning
motivational learning
emotional learning
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Jörgen From
Umeå University Sweden
field learning
hybrid learning
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Fernando Olivera
Western University Canada
learning processes
group learning
individual learning
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Jennifer Howell
University of Western Australia Australia
virtual learning
augmented learning
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Terri Lee
University of Southern California United States of America
virtual learning
integrative learning
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Glynda Hull
University of California, Berkeley United States of America
service learning
learning literacy
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Alexia Revueltas Roux
University of Glasgow United Kingdom
science learning
children's learning
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Wuyang Chen
Simon Fraser University Canada
self-supervised learning
automated machine learning
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Charles Kemp
University of Melbourne Australia
computational models of learning
relational learning
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Lia Fluit
Radboud University Netherlands
complex skills learning
workplace learning
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Lester Jones
Singapore Institute of Technology Singapore
student learning
self regulated learning
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Shauna Connelly
Northwestern University United States of America
motor speech
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Marcus Brubaker
York University Canada
human motion modeling
machine learning
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Philip Corlett
Yale University United States of America
predictive learning
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Philip Corlett
Yale University United States of America
predictive learning
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Klaus Thestrup
Aalborg University Denmark
networked learning
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