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Devika Narain

Showing results (1-10 of 14) with videos related to

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Current Opinion in Neurobiology|October 22, 2021
Neural implementations of Bayesian inferenceHansem Sohn, Devika Narain
Scientific Reports|May 10, 2025
Fast implicit and slow explicit learning of temporal contextLuca Mangili, Charlotte Wissing, Devika Narain
Neuron|July 20, 2019
Bayesian Computation through Cortical Latent DynamicsHansem Sohn, Devika Narain, Nicolas Meirhaeghe, et al.
Nature Neuroscience|July 28, 2025
A neural manifold view of the brainMatthew G Perich, Devika Narain, Juan A Gallego
Nature Neuroscience|December 6, 2017
Flexible timing by temporal scaling of cortical responsesJing Wang, Devika Narain, Eghbal A Hosseini, et al.
Neuron|June 8, 2018
Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical DynamicsEvan D Remington, Devika Narain, Eghbal A Hosseini, et al.
Nature Neuroscience|April 7, 2026
Neural circuits encode prior knowledge of temporal statisticsJulius Koppen, Ilse Klinkhamer, Marit Runge, et al.
Nature Communications|February 3, 2018
A cerebellar mechanism for learning prior distributions of time intervalsDevika Narain, Evan D Remington, Chris I De Zeeuw, et al.
Biorxiv : the Preprint Server for Biology|November 18, 2024
RATS: Unsupervised manifold learning using low-distortion alignment of tangent spacesDhruv Kohli, Johannes S Nieuwenhuis, Alexander Cloninger, et al.
Trends in Cognitive Sciences|September 30, 2018
A Dynamical Systems Perspective on Flexible Motor TimingEvan D Remington, Seth W Egger, Devika Narain, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Current Opinion in Neurobiology|October 22, 2021
Neural implementations of Bayesian inferenceHansem Sohn, Devika Narain
Scientific Reports|May 10, 2025
Fast implicit and slow explicit learning of temporal contextLuca Mangili, Charlotte Wissing, Devika Narain
Neuron|July 20, 2019
Bayesian Computation through Cortical Latent DynamicsHansem Sohn, Devika Narain, Nicolas Meirhaeghe, et al.
Nature Neuroscience|July 28, 2025
A neural manifold view of the brainMatthew G Perich, Devika Narain, Juan A Gallego
Nature Neuroscience|December 6, 2017
Flexible timing by temporal scaling of cortical responsesJing Wang, Devika Narain, Eghbal A Hosseini, et al.
Neuron|June 8, 2018
Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical DynamicsEvan D Remington, Devika Narain, Eghbal A Hosseini, et al.
Nature Neuroscience|April 7, 2026
Neural circuits encode prior knowledge of temporal statisticsJulius Koppen, Ilse Klinkhamer, Marit Runge, et al.
Nature Communications|February 3, 2018
A cerebellar mechanism for learning prior distributions of time intervalsDevika Narain, Evan D Remington, Chris I De Zeeuw, et al.
Biorxiv : the Preprint Server for Biology|November 18, 2024
RATS: Unsupervised manifold learning using low-distortion alignment of tangent spacesDhruv Kohli, Johannes S Nieuwenhuis, Alexander Cloninger, et al.
Trends in Cognitive Sciences|September 30, 2018
A Dynamical Systems Perspective on Flexible Motor TimingEvan D Remington, Seth W Egger, Devika Narain, et al.
Pageof 2