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Jonathan W Pillow

Showing results (21-30 of 85) with videos related to

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Biorxiv : the Preprint Server for Biology|November 28, 2024
Modeling Complex Animal Behavior with Latent State Inverse Reinforcement LearningAditi Jha, Victor Geadah, Jonathan W Pillow
Nature Neuroscience|November 27, 2019
Unsupervised identification of the internal states that shape natural behaviorAdam J Calhoun, Jonathan W Pillow, Mala Murthy
Elife|August 20, 2024
Neural population dynamics underlying evidence accumulation in multiple rat brain regionsBrian DePasquale, Carlos D Brody, Jonathan W Pillow
Nature Neuroscience|October 6, 2020
Prefrontal cortex exhibits multidimensional dynamic encoding during decision-makingMikio C Aoi, Valerio Mante, Jonathan W Pillow
Nature Communications|November 28, 2025
Identifying the factors governing internal state switches during nonstationary sensory decision-makingZeinab Mohammadi, Zoe C Ashwood, , et al.
Elife|December 19, 2019
Inferring synaptic inputs from spikes with a conductance-based neural encoding modelKenneth W Latimer, Fred Rieke, Jonathan W Pillow
Nature Neuroscience|December 21, 2019
Author Correction: Unsupervised identification of the internal states that shape natural behaviorAdam J Calhoun, Jonathan W Pillow, Mala Murthy
Neural Computation|November 2, 2004
Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding modelLiam Paninski, Jonathan W Pillow, Eero P Simoncelli
Proceedings of the National Academy of Sciences of the United States of America|October 17, 2018
Lawful tracking of visual motion in humans, macaques, and marmosets in a naturalistic, continuous, and untrained behavioral contextJonas Knöll, Jonathan W Pillow, Alexander C Huk
Plos Computational Biology|April 2, 2015
The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reductionRoss S Williamson, Maneesh Sahani, Jonathan W Pillow
Pageof 9

Showing results (21-30 of 85) with videos related to

Sort By:
Pageof 9
Biorxiv : the Preprint Server for Biology|November 28, 2024
Modeling Complex Animal Behavior with Latent State Inverse Reinforcement LearningAditi Jha, Victor Geadah, Jonathan W Pillow
Nature Neuroscience|November 27, 2019
Unsupervised identification of the internal states that shape natural behaviorAdam J Calhoun, Jonathan W Pillow, Mala Murthy
Elife|August 20, 2024
Neural population dynamics underlying evidence accumulation in multiple rat brain regionsBrian DePasquale, Carlos D Brody, Jonathan W Pillow
Nature Neuroscience|October 6, 2020
Prefrontal cortex exhibits multidimensional dynamic encoding during decision-makingMikio C Aoi, Valerio Mante, Jonathan W Pillow
Nature Communications|November 28, 2025
Identifying the factors governing internal state switches during nonstationary sensory decision-makingZeinab Mohammadi, Zoe C Ashwood, , et al.
Elife|December 19, 2019
Inferring synaptic inputs from spikes with a conductance-based neural encoding modelKenneth W Latimer, Fred Rieke, Jonathan W Pillow
Nature Neuroscience|December 21, 2019
Author Correction: Unsupervised identification of the internal states that shape natural behaviorAdam J Calhoun, Jonathan W Pillow, Mala Murthy
Neural Computation|November 2, 2004
Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding modelLiam Paninski, Jonathan W Pillow, Eero P Simoncelli
Proceedings of the National Academy of Sciences of the United States of America|October 17, 2018
Lawful tracking of visual motion in humans, macaques, and marmosets in a naturalistic, continuous, and untrained behavioral contextJonas Knöll, Jonathan W Pillow, Alexander C Huk
Plos Computational Biology|April 2, 2015
The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reductionRoss S Williamson, Maneesh Sahani, Jonathan W Pillow
Pageof 9