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Nicholas G. Hatsopoulos

Researcher at University of Chicago

Publications -  198
Citations -  11045

Nicholas G. Hatsopoulos is an academic researcher from University of Chicago. The author has contributed to research in topics: Motor cortex & Primary motor cortex. The author has an hindex of 54, co-authored 183 publications receiving 9985 citations. Previous affiliations of Nicholas G. Hatsopoulos include California Institute of Technology & Brown University.

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Instant neural control of a movement signal.

TL;DR: In this paper, the activity from a few motor cortex neurons can be decoded into a signal that a monkey is able to use immediately to move a computer cursor to any new position in its workspace.
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Neural Discharge and Local Field Potential Oscillations in Primate Motor Cortex During Voluntary Movements

TL;DR: Widespread coupling of oscillatory signals is consistent with the concept that temporal coding processes operate in motor cortex, but because the relationship between neuronal discharge and the appearance of fast oscillations may be altered by behavioral condition, they must reflect a global process active in conjunction with motor planning or preparatory functions.
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Propagating waves mediate information transfer in the motor cortex

TL;DR: It is found that information about the visual target to be reached was encoded in terms of both latency and amplitude of evoked waves at a time when the field phase-locked with respect to the target onset.
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Spatiotemporal Tuning of Motor Cortical Neurons for Hand Position and Velocity

TL;DR: These findings demonstrate that MI carries information about evolving hand trajectory during visually guided pursuit tracking, including information about arm position both during and after its specification, as well as confirming that random, 2-D hand trajectories can be reconstructed from the firing of small ensembles of randomly selected neurons within the MI arm area.
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The science of neural interface systems.

TL;DR: The potential for neural interface research to enhance basic scientific understanding of brain function by offering unique insights in neural coding and representation, plasticity, brain-behavior relations, and the neurobiology of disease is addressed.