Steven Peterson

I am interested in understanding how human neural control occurs in non-traditional, naturalistic settings with fewer movement constraints. This approach can potentially provide more generalizable and realistic results than a controlled experiment, but also involves challenges such as data cleaning and relevant behavior identification.

For my Ph.D. dissertation, I studied how the healthy adult cortex, measured with electroencephalography (EEG), responded to sensorimotor perturbations during tandem standing and walking. Using source localization, I found distinct changes in activity across brain areas, along with altered connectivity patterns that likely reflect dynamic cortical weighting of sensory information.

As a postdoctoral scholar, I am analyzing the neural correlates of spontaneous, unconstrained actions in electrocorticography (ECoG) patients. With this dataset, I am exploring cortical/subcortical activity during spontaneous movements across large groups of patients and developing automated analysis pipelines to handle such large-scale, unconstrained neuroimaging datasets.