Robert Law
Brown University
11 Papers
6 Citations
Robert Law is an academic researcher from Brown University. The author has contributed to research in topics: Sensory stimulation therapy & Beta Rhythm. The author has an hindex of 5, co-authored 11 publications. Previous affiliations of Robert Law include Harvard University & Providence VA Medical Center.
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Papers
Neural mechanisms of transient neocortical beta rhythms: Converging evidence from humans, computational modeling, monkeys, and mice.
Maxwell A. Sherman,Shane Lee,Robert Law,Saskia Haegens,Saskia Haegens,Catherine A. Thorn,Matti Hämäläinen,Matti Hämäläinen,Christopher I. Moore,Stephanie R. Jones +9 more
TL;DR: A new theory that accounts for the origin of spontaneous neocortical beta is presented and several predictions about optimal states for perceptual and motor performance are made to guide causal interventions to modulate beta for optimal function.
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The rate of transient beta frequency events predicts behavior across tasks and species
Hyeyoung Shin,Robert Law,Robert Law,Shawn Tsutsui,Christopher I Moore,Stephanie R. Jones,Stephanie R. Jones +6 more
TL;DR: It is shown that functionally relevant differences in averaged beta power in primary somatosensory neocortex reflect a difference in the number of high-power beta events per trial, i.e. event rate.
Thalamocortical Mechanisms Regulating the Relationship between Transient Beta Events and Human Tactile Perception.
Robert Law,Robert Law,Robert Law,Sarah Pugliese,Hyeyoung Shin,Hyeyoung Shin,Danielle D. Sliva,Shane Lee,Shane Lee,Samuel A. Neymotin,Samuel A. Neymotin,Christopher I. Moore,Stephanie R. Jones,Stephanie R. Jones +13 more
TL;DR: In this paper, the authors combined human magnetoencephalography (MEG) measurements with biophysical neural modeling to test potential cellular and circuit mechanisms that underlie observed correlations between prestimulus beta events and tactile detection, and found that simulated bursts from higher-order, nonlemniscal thalamus were sufficient to drive beta event generation and to recruit slow supragranular inhibition acting on a 300 ms timescale to suppress sensory information.
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The rate of transient beta frequency events predicts impaired function across tasks and species
TL;DR: It is shown for the first time that functionally relevant differences in averaged prestimulus beta power in human sensory neocortex reflects a difference in the number of high-power beta events per trial, i.e., the rate of events.
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