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Date: Friday, June 24, 2022
Time: 11:00 a.m.
Virtual: View meeting instructions below
Speaker: Tianming Liu
Speaker’s Title: Distinguished Research Professor (since 2017) and a Full Professor of Computer Science (since 2015)
Speaker’s Affiliation: University of Georgia
Seminar Title: Disentangle Human Brain Commonality and Individuality
Disentangle Human Brain Commonality and Individuality
Comparison and integration of neuroimaging data from different brains and populations is fundamental in neuroscience in that it underlies countless statistically meaningful conclusions about the human brain. However, the uniqueness of each human brain imposes fundamental challenges to existing approaches that aim to compare and integrate brain science data across individuals and populations. This longstanding challenge has escalated and become more urgent with the recent dramatic growth of publicly available brain science data, particularly neuroimaging data. Despite numerous efforts in the brain science field over the past few decades, there is still a fundamental lack of basic understanding and concrete representation of the regularity and variability of the human brain. In this talk, I will share the research experience on representation of human brain commonality and individuality using neuroimaging data in the Cortical Architecture Imaging and Discovery Lab at the University of Georgia in the past decade. I will introduce the opportunities and challenges in creating a universal and individualized brain reference system that encodes functional localizations of brain structures by fiber connection patterns and topographic folding patterns, which possess finer granularity, better functional homogeneity, more accurate functional localization, and intrinsically established correspondence across different brains.
Biosketch: Dr. Tianming Liu is a Distinguished Research Professor (since 2017) and a Full Professor of Computer Science (since 2015) at University of Georgia (UGA). Dr. Liu is also an affiliated faculty (by courtesy) with UGA Bioimaging Research Center (BIRC), UGA Institute of Bioinformatics (IOB), UGA Neuroscience PhD Program, and UGA Institute of Artificial Intelligence (IAI). Dr. Liu’s primary research interests are brain imaging, computational neuroscience, and brain-inspired artificial intelligence, and he has published over 380 papers in this area. Dr. Liu is the recipient of the NIH Career Award (2007-2012) and the NSF CAREER Award (2012-2017). Dr. Liu is a Fellow of AIMBE (inducted in 2018) and was the General Chair of MICCAI 2019.
Meeting information:
Meeting number: 2620 576 9333
Password: BsKNFgKh787
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