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Transfer of Motor Learning from a Virtual to Real Task Using EEG Signals Resulting from Embodied and Abstract Thoughts

Abstract This research is focused on two separate but related topics. The first uses an electroencephalographic (EEG) brain-computer interface (BCI) to explore the phenomenon of motor learning transfer. The second takes a closer look at the EEG-BCI itself and tests an alternate way of mapping EEG signals into machine commands. We test whether motor learning transfer is more related to use of shared neural structures between imagery and motor execution or to more generalized cognitive factors. Using an EEG-BCI, we train one group of participants to control the movements of a cursor using embodied motor imagery. A second group is trained to control the cursor using abstract motor imagery. A third control group practices moving the cursor using an arm ... (more)
Created Date 2013
Contributor Da Silva, Flavio J.K. (Author) / Mcbeath, Michael K (Advisor) / Helms Tillery, Stephen (Committee member) / Presson, Clark (Committee member) / Sugar, Thomas (Committee member) / Arizona State University (Publisher)
Subject Psychology / Biomedical engineering / Neurosciences / abstract motor imagery / Artificial Neural Network / Brain Computer Interface / EEG / embodied / Motor Learning Transfer
Type Doctoral Dissertation
Extent 100 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Psychology 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis