Robert Law

The paper develops two new genetically encoded voltage indicators (JEDI3sub and JEDI3hyp) for improved two-photon recording of subthreshold voltage dynamics in vivo.

The paper introduces FORCE1s, a GEVI that enables robust two-photon voltage imaging in awake mice with high signal-to-noise and reliable spike detection.

The paper examines cortical acetylcholine dynamics during behavioral state transitions, finding that axon activity and behavior predict ACh levels.

This study replicates group-level sleep EEG differences in schizophrenia and shows increased patient-to-patient variability in NREM metrics, with medication and age-related effects contributing to this heterogeneity.

This study identifies biases in group-level EEG microstate analysis and proposes a paired analysis approach to reduce errors from subgroup topography differences.

This study identifies NREM sleep and wake EEG biomarkers associated with schizophrenia symptom severity and disease status.

This study investigates how thalamocortical beta events influence tactile perception using MEG and biophysical modeling, finding both suppressive and facilitatory effects depending on timing.

The paper introduces a group refactorization method for sleep EEG data to enable inter-individual analysis by aligning frequency factors across subjects.

The paper investigates how neocortical beta events influence tactile perception using MEG and computational modeling, finding that beta events suppress sensory processing through GABAB inhibition.

The paper shows that the rate of transient high-power beta events in brain signals predicts impaired function across human and mouse tasks.