Scalp EEG detects motor sequence replay signatures during wakeful rest
This study shows scalp EEG can detect motor sequence replay during wakeful rest, with accelerated memory reactivation enhancing learning and replay strength.
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Tarleton State UniversityORCID 0000-0002-0543-0304Unclaimed ORCID profile · follow to get notified of new preprints
7 papers
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This study shows scalp EEG can detect motor sequence replay during wakeful rest, with accelerated memory reactivation enhancing learning and replay strength.
Debadatta Dash, Leonardo Claudino, Hisato Sugata…·Ethan R. Buch
This study links constricted pupil states to neural replay during wakeful rest in humans, showing their association with motor learning outcomes.
Hisato Sugata, Fumiaki Iwane, William Hayward…·Leonardo G. Cohen
The paper links alpha and low-beta oscillatory activity in cingulate and striatal brain hubs to micro-offline gains during early skill learning.
Debadatta Dash, Fumiaki Iwane, William Hayward…·Leonardo G. Cohen
The paper shows that neural representations of actions in motor skills differentiate during early learning, particularly offline, and shift brain regions involved as skill improves.
Debadatta Dash, Evan Kittle, Isabel Gerrard…·Richy Yun
This paper demonstrates that wearable magnetometers can achieve high accuracy in silent speech recognition, outperforming existing methods and showing generalizability across users.
Richy Yun, Richárd Csáky, Debadatta Dash…·Nishita Deka
This paper develops a magnetomyography-based system for gesture recognition, achieving high accuracy and cross-participant performance, suggesting its potential as a generalizable alternative to sEMG.
Richy Yun, Gabriel Gonzalez, Isabel Gerrard…·Dominic Labanowski
This paper investigates magnetomyography (MMG) by simultaneously recording it with surface electromyography (sEMG) during muscle contractions, finding linear correlation with contraction intensity and differences in frequency content.