Abstract: The human brain is a time machine; We are constantly remembering our past, and projecting ourselves into the future. Capturing the brain’s response as these moments unfold could yield valuable insights into both how the brain works and how to better design human-centered AI systems. In this talk,  I will present our research on the human brain spatiotemporal dynamics of perceived or imagined events, using a combination of MEG (magneto-encephalography) and fMRI (functional magnetic resonance imaging) methods. The fusion of both methods could lead to the development of biomarkers to aid clinicians in diagnosing disease, identifying cognitive impairments, finding ways to maintain or augment perception and cognition in healthy brains, and developing new brain-inspired machine-learning architectures.​

Speaker Biography: Aude Oliva, Ph.D. is the MIT director of the MIT–IBM Watson AI Lab and director of MIT Quest Corporate, MIT Schwarzman College of Computing, leading collaborations with industry to translate natural and artificial intelligence research into tools for the wider world. She is also a senior research scientist at the Computer Science and Artificial Intelligence Laboratory where she heads the Computational Perception and Cognition group.Oliva has received an NSF Career Award in computational neuroscience, a Guggenheim fellowship in computer science and a Vannevar Bush Faculty Fellowship in cognitive neuroscience. She has served as an expert to the NSF Directorate of Computer and Information Science and Engineering on the topic of human and artificial intelligence. She is currently a member of the scientific advisory board for the Allen Institute for Artificial Intelligence. Her research is cross-disciplinary, spanning human perception and cognition, computer vision  and cognitive neuroscience, and focuses on research questions at the intersection of all three domains. She earned a MS and PhD in cognitive science from the Institut National Polytechnique de Grenoble, France.​

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Details to attend talk remotely via Zoom:

Zoom connection link: https://mit.zoom.us/j/91535711926?pwd=MlNxTU45dkRlQUxIejVLTkh6WldVQT09