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Nature Neuroscience|February 4, 2026
Neural population geometry and optimal coding of tasks with shared latent structureAlbert J Wakhloo, Will Slatton, SueYeon ChungPhysical Review Letters|July 28, 2023
Linear Classification of Neural Manifolds with Correlated VariabilityAlbert J Wakhloo, Tamara J Sussman, SueYeon ChungArxiv|May 7, 2026
Solution of a large nonlinear recurrent neural network at fixed connectivityAlbert J WakhlooPhysical Review. E|September 16, 2025
Statistical mechanics of support vector regressionAbdulkadir Canatar, SueYeon ChungTrends in Cognitive Sciences|June 25, 2023
Unveiling the benefits of multitasking in disentangled representation formationJenelle Feather, SueYeon ChungCurrent Opinion in Neurobiology|November 21, 2021
Neural population geometry: An approach for understanding biological and artificial neural networksSueYeon Chung, L F AbbottPhysical Review. E|July 15, 2016
Linear readout of object manifoldsSueYeon Chung, Daniel D Lee, Haim SompolinskyBiorxiv : the Preprint Server for Biology|July 16, 2025
Variations in neuronal selectivity create efficient representational geometries for perceptionSonica Saraf, J Anthony Movshon, SueYeon ChungPhysical Review. E|April 18, 2025
Nonlinear classification of neural manifolds with contextual informationFrancesca Mignacco, Chi-Ning Chou, SueYeon ChungBiorxiv : the Preprint Server for Biology|September 2, 2025
Associative synaptic plasticity creates dynamic persistent activityAlbert J Wakhloo, David G Clark, L F AbbottPageof 3