Network-aware self-supervised learning enables high-content phenotypic screening for genetic modifiers of neuronal activity dynamics
Parker Grosjean, Kaivalya Shevade, Cuong Nguyen, Sarah Ancheta, Karl Mader, Ivan Franco, Seok-Jin Heo, Greyson R. Lewis, Dehua Zhao, Bhairavi Tolani, Steven Boggess, Angelique Di Domenico, Erik M. Ullian, Shawn Shafer, Adam Litterman, , Martin Kampmann
The paper introduces Plexus, a self-supervised model for capturing neuronal activity dynamics, and demonstrates its effectiveness in identifying genetic modifiers of neuronal activity in frontotemporal dementia.
Nature Machine Intelligence · Dec 17, 2025Peer-reviewedBioinformatics