Every perceptual and cognitive function in humans is realized by neural population responses evolving over time and space in multiple brain regions. In this talk, Dr. Oliva will describe a brain mapping approach that combine magnetoencephalography (MEG), functional MRI (fMRI) and Convolutional Neural Networks (CNNs) to yield a spatially and temporally integrated characterization of neural representations during visual recognition. Determining the duration and sequencing of processes at the scale of the whole human brain provides insights to evaluate the computational strategies that may work best for performing perceptual and cognitive tasks.
Aude Oliva is a Principal Research Scientist at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Her research is cross-disciplinary, spanning human perception/cognition, computer vision, and human neuroscience, choosing research questions at the intersection of the three domains.
Registration is strongly encouraged. Seating is limited.
This seminar is part of the Systems, Cognitive and Computational Neuroscience Seminar Series at Columbia's Zuckerman Institute, which focuses on cognition and decision making research. Internationally renowned speakers present their recent work on these topics using behavioral, neurobiological and computational approaches. Seminars take place approximately every other week on Tuesdays at 4 pm in the Jerome L. Greene Science Center (9th floor).