Mapping the spatio-temporal dynamics of vision in the human brain
Abstract: 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, I 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 perception and memorization. Determining the duration and sequencing of cognitive processes at the scale of the whole human brain provides insights to evaluate the computational strategies that may work best for performing specific tasks.
Bio: Aude Oliva is a Principal Research Scientist at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. After a French baccalaureate in Physics and Mathematics, she received two M.Sc. degrees and a Ph.D in Cognitive Science from the Institut National Polytechnique of Grenoble, France. She joined the MIT faculty in the Department of Brain and Cognitive Sciences in 2004 and the MIT CSAIL in 2012. Her research is cross-disciplinary, spanning human perception/cognition, computer vision, and human neuroscience, choosing research questions at the intersection of the three domains. Dr. Oliva is the recipient of a National Science Foundation CAREER Award in Computational Neuroscience (2006), the Guggenheim Fellowship in Computer Science (2014), and the Vannevar Bush Faculty Fellowship in Cognitive Neuroscience (2016).