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

Efforts to study the neural correlates of learning are hampered by the size of the network in which learning occurs. To understand the importance of learning-related changes in a network of neurons, it is necessary to understand how the network acts as a whole to generate behavior. Here we introduce...

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Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS 2008-12, Vol.105 (49), p.19486-19491
Hauptverfasser:	Jarosiewicz, Beata, Chase, Steven M, Fraser, George W, Velliste, Meel, Kass, Robert E, Schwartz, Andrew B
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Association Learning - physiology Axes of rotation Behavior Behavioral neuroscience Biological Sciences Electrodes, Implanted Learning Macaca mulatta Machine learning Male Mathematical vectors Models, Neurological Motor cortex Motor Cortex - physiology Neural Networks (Computer) Neuronal Plasticity - physiology Neurons Population dynamics Prostheses and Implants Psychomotor Performance T tests Trajectories User interface User-Computer Interface Virtual reality
Online-Zugang:	Volltext
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