Multimodal Cognitive Neuroscience Lab
Connecting brain, behavior, and computation
Understanding cognition across modalities
We study how the human brain transforms visual information into meaningful representations that support higher-order social cognition, memory, and learning. By integrating human single-neuron recordings, iEEG, fMRI, eye tracking, behavior, and computational modeling, we connect neural activity with cognition in neurotypical individuals and in individuals with schizophrenia or autism.
A multimodal approach
No single measurement captures cognition in full. Our work combines complementary methods to reveal when, where, and how cognitive processes unfold.
Measure
We use iEEG, human single-neuron recordings, 3T and 7T fMRI, eye tracking, and behavioral experiments to characterize cognition across spatial and temporal scales.
Model
We develop and test computational models that explain how visual features become object and face representations, memories, judgments, and inferences.
Integrate
We build reproducible workflows and explore agentic AI as a tool for connecting datasets, analyses, and scientific reasoning.
Science built through collaboration
The MCN Lab is based in the Neuroimaging Labs Research Center at Mallinckrodt Institute of Radiology, WashU Medicine. We value rigorous methods, open and reproducible research, generous collaboration, and an environment in which trainees can develop ambitious interdisciplinary careers.
Opportunities
We are recruiting two postdoctoral researchers with strong backgrounds in fMRI and/or electrophysiology and an interest in cognitive computational neuroscience. Experience with 7T fMRI, computational modeling, agentic AI, or reproducible data-processing workflows is especially welcome.