Author

Wing Ting To

The University of Texas at DallasORCID 0000-0002-0570-503XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Bambi DeLaRosaiD· 2 shared Jeffrey S. SpenceiD· 2 shared John HartiD· 2 shared Michael A. KrautiD· 2 shared Michael A. MotesiD· 2 shared Sven VannesteiD· 2 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersNeuroscience

Bambi DeLaRosaORCID

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2 papers

Recent·Most cited

THE INFLUENCE OF PRE-SUPPLEMENTARY MOTOR AREA TARGETED HIGH-DEFINITION TRANSCRANIAL DIRECT CURRENT STIMULATION ON INHIBITORY CONTROL

Bambi DeLaRosa, Jeffrey S. Spence, Michael A. Motes, Wing Ting To, Sven Vanneste, John Hart, Michael A. Kraut

This study investigates the effect of HD-tDCS on preSMA to improve inhibitory control, finding that both anodal and cathodal stimulation enhanced performance compared to sham.

bioRxiv · Oct 27, 2020 · PreprintNeuroscience

Identification of selection and inhibition components in a go/nogo task from EEG spectra using a machine learning model

Bambi DeLaRosa, Jeffrey S. Spence, Michael A. Motes, Wing Ting To, Sven Vanneste, Michael A. Kraut, John Hart

The paper uses a machine learning model to identify EEG features distinguishing Go and NoGo conditions in a task, achieving 92% accuracy and localizing brain regions involved in selection and inhibition.

Brain and Behavior · Oct 19, 2020Peer-reviewedNeuroscience