Daria Nesterovich Anderson

DynamoSort automatically classifies seizure dynamotypes using machine learning, achieving performance comparable to human raters and providing probabilistic scores for seizure dynamics.

The paper identifies neural traveling waves evoked by single-pulse brain stimulation using intracranial recordings and shows they propagate with biologically plausible velocities.

The paper introduces a naive Bayes classifier to automate grooming behavior analysis in mice using force-plate actometry, achieving high accuracy and demonstrating its utility in tic disorder models.

This study investigates how the size and shape of deep brain stimulation contacts affect neural selectivity, finding that smaller contacts better constrain activation to nearby grey matter but are less energy efficient.

This study investigates how pulse width tuning and segmented electrodes affect deep brain stimulation, finding that long pulse widths reduce side effects and improve battery efficiency.