Functional network reorganization during learning in a brain-computer interface paradigm

By B. Jarosiewicz, Steven M. Chase, G. W. Fraser, M. Velliste, Robert E. Kass, Andrew B. Schwartz. Proceedings of the National Academy of Sciences of the United States of America, 2008

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Computation Through Neural Population Dynamics (2020, background): “…setup is powerful for studying learning because the experimenter has complete knowledge of and ability to manipulate the mapping between neural activity and behavior (Athlaye et al. 2017, Chase et al. 2012, Jarosiewicz et al. 2008, Orsborn et al. 2014, Sakellaridi et al. 2019, Zhou et al. 2019).”
Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface (2015, methodology): “S1C) (28) or a “shearing” effect on the cursor’s velocity toward and opposite its contribution to the decoder (fig.”
Explicit and Implicit Contributions to Learning in a Sensorimotor Adaptation Task (2014, background): “Exploration of potential aiming directions may be a fundamental process for motor learning and, in fact, may also occur in nonhuman primates (Jarosiewicz et al., 2008; Legenstein et al., 2010).”
A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task (2010, methodology): “Theexperimentsof Jarosiewiczetal.”