We are interested in how humans carry out and maintain goal-directed behaviors and how the cognitive system resolves challenges to this goal. Common examples of such challenges are unexpected events and action errors. As part of this effort, we investigate the dynamic interplay between brain networks that subserve:
- The monitoring of the external and internal environment.
- The evaluation of action outcomes.
- The adaptation of ongoing behavior and cognition in the short and long term.
We use a variety of methods to study these questions, including:
- Scalp-recorded Electroencephalography (EEG).
- Invasive recordings of brain activity (ECoG and DBS-LFP recordings).
- Transcranial magnetic stimulation (TMS).
- Functional Magnetic Resonance Imaging (fMRI).
- Computational modeling.
- Autonomic psychophysiology.
Finally, we study how pathological processes, brain lesions, and (ab)normal aging affect these networks.
As of right now, the lab has a dedicated fMRI and TMS-compatible high-density EEG system, scanning resources in the brain imaging center, a behavioral laboratory, custom-built force feedback devices, and a dedicated Linux computational server. We also have ongoing collaborations for neurological patient studies, computational neuroscience, and pupil tracking (on site at UIowa Psych).