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Nature Communications|January 2, 2025
Dynamic tracking of objects in the macaque dorsomedial frontal cortexRishi Rajalingham, Hansem Sohn, Mehrdad JazayeriTrends in Neurosciences|December 22, 2020
A Network Perspective on Sensorimotor LearningHansem Sohn, Nicolas Meirhaeghe, Rishi Rajalingham, et al.Proceedings of the National Academy of Sciences of the United States of America|June 23, 2021
Validating model-based Bayesian integration using prior-cost metamersHansem Sohn, Mehrdad JazayeriNeuron|September 17, 2021
A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortexNicolas Meirhaeghe, Hansem Sohn, Mehrdad JazayeriNature Communications|October 4, 2022
Recurrent neural networks with explicit representation of dynamic latent variables can mimic behavioral patterns in a physical inference taskRishi Rajalingham, Aída Piccato, Mehrdad JazayeriNeuron|July 20, 2019
Bayesian Computation through Cortical Latent DynamicsHansem Sohn, Devika Narain, Nicolas Meirhaeghe, et al.Arxiv|June 9, 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic ScenesAran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, et al.Neuron|January 14, 2023
Parametric control of flexible timing through low-dimensional neural manifoldsManuel Beiran, Nicolas Meirhaeghe, Hansem Sohn, et al.Current Opinion in Neurobiology|October 22, 2021
Neural implementations of Bayesian inferenceHansem Sohn, Devika NarainJournal of Neurophysiology|October 19, 2012
Dichotomy in perceptual learning of interval timing: calibration of mean accuracy and precision differ in specificity and time courseHansem Sohn, Sang-Hun LeePageof 8