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DTSTART;TZID=America/New_York:20260925T120000
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SUMMARY:CBN Really Awesome Data Discussion: Brian Daniels Lab
DESCRIPTION:“CNS-derived SerpinA3n exerts a protective function during WNV orthoflavivirus encephalitis.”\nSpeaker: Vishal Karuppusamy from Brian Daniels Lab \nDate and Time: September 25\, 2026\, 12:00 – 1:00 PM \nLocation: Nelson Biology Laboratories\, 604 Allison Rd\, Rm D406\, Piscataway\, NJ 08854\, USA
URL:https://brainhealthinstitute.rutgers.edu/event/cbn-really-awesome-data-discussion-brian-daniels-lab/
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DTSTART;TZID=America/New_York:20260925T130000
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SUMMARY:Rutgers Network Neuroscience Interest Group: Amy Kuceyeski\, PhD
DESCRIPTION:“The Krakencoder: a multi-modal connectome fusion tool for brain-behavior mapping”\nSpeaker: Amy Kuceyeski\, PhD\nAssociate Professor of Mathematics\, Radiology Department\, Brain and Mind Institute\, Weill Cornell Medicine \nDate and Time: Friday\, September 25 at 1:00 PM \nZoom link: https://rutgers.zoom.us/my/lp756?pwd=Y3Q1NTNGTFJibHpYcUUwYUNaaFg5UT09\nIn-Person: SRB seminar room \nSummary: In this talk\, Dr. Kuceyeski will introduce the Krakencoder – her lab’s new tool for multi-modal integration of brain network measurements that allows mapping between connectome processing pipelines as well as between structural and functional connectomes. This AI tool allows state of the art preservation of inter-individual differences in brain networks through a shared latent space. In an extension from the original publication earlier this year\, she will demonstrate the flexibility of the tool for jointly minimizing site differences (harmonization) as well as maximizing brain-behavior mapping accuracy for various metrics. She also demonstrate how the tool can be used to create interpretable feature importances when mapping to behavior or demographics. This tool represents the power of AI in better understanding the mapping between brain structure and function and behavior.
URL:https://brainhealthinstitute.rutgers.edu/event/rutgers-network-neuroscience-interest-group-amy-kuceyeski-phd/
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