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Nathaniel D Daw

Showing results (41-50 of 153) with videos related to

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Elife|December 2, 2022
Uncertainty alters the balance between incremental learning and episodic memoryJonathan Nicholas, Nathaniel D Daw, Daphna Shohamy
Learning & Memory (Cold Spring Harbor, N.Y.)|November 16, 2021
In for a penny, in for a pound: examining motivated memory through the lens of retrieved context modelsDeborah Talmi, Deimante Kavaliauskaite, Nathaniel D Daw
Nature Communications|February 13, 2025
Proactive and reactive construction of memory-based preferencesJonathan Nicholas, Nathaniel D Daw, Daphna Shohamy
Biorxiv : the Preprint Server for Biology|December 18, 2023
Proactive and reactive construction of memory-based preferencesJonathan Nicholas, Nathaniel D Daw, Daphna Shohamy
Computational Psychiatry (Cambridge, Mass.)|May 26, 2021
Anxiety, avoidance, and sequential evaluationSamuel Zorowitz, Ida Momennejad, Nathaniel D Daw
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 30, 2009
Human reinforcement learning subdivides structured action spaces by learning effector-specific valuesSamuel J Gershman, Bijan Pesaran, Nathaniel D Daw
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 14, 2012
Dynamic estimation of task-relevant variance in movement under riskMichael S Landy, Julia Trommershäuser, Nathaniel D Daw
Psychological Review|April 12, 2019
A retrieved context model of the emotional modulation of memoryDeborah Talmi, Lynn J Lohnas, Nathaniel D Daw
Neuroimage|December 12, 2012
Action selection in multi-effector decision makingSeth Madlon-Kay, Bijan Pesaran, Nathaniel D Daw
Plos Computational Biology|May 30, 2013
Testing whether humans have an accurate model of their own motor uncertainty in a speeded reaching taskHang Zhang, Nathaniel D Daw, Laurence T Maloney
Pageof 16

Showing results (41-50 of 153) with videos related to

Sort By:
Pageof 16
Elife|December 2, 2022
Uncertainty alters the balance between incremental learning and episodic memoryJonathan Nicholas, Nathaniel D Daw, Daphna Shohamy
Learning & Memory (Cold Spring Harbor, N.Y.)|November 16, 2021
In for a penny, in for a pound: examining motivated memory through the lens of retrieved context modelsDeborah Talmi, Deimante Kavaliauskaite, Nathaniel D Daw
Nature Communications|February 13, 2025
Proactive and reactive construction of memory-based preferencesJonathan Nicholas, Nathaniel D Daw, Daphna Shohamy
Biorxiv : the Preprint Server for Biology|December 18, 2023
Proactive and reactive construction of memory-based preferencesJonathan Nicholas, Nathaniel D Daw, Daphna Shohamy
Computational Psychiatry (Cambridge, Mass.)|May 26, 2021
Anxiety, avoidance, and sequential evaluationSamuel Zorowitz, Ida Momennejad, Nathaniel D Daw
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 30, 2009
Human reinforcement learning subdivides structured action spaces by learning effector-specific valuesSamuel J Gershman, Bijan Pesaran, Nathaniel D Daw
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 14, 2012
Dynamic estimation of task-relevant variance in movement under riskMichael S Landy, Julia Trommershäuser, Nathaniel D Daw
Psychological Review|April 12, 2019
A retrieved context model of the emotional modulation of memoryDeborah Talmi, Lynn J Lohnas, Nathaniel D Daw
Neuroimage|December 12, 2012
Action selection in multi-effector decision makingSeth Madlon-Kay, Bijan Pesaran, Nathaniel D Daw
Plos Computational Biology|May 30, 2013
Testing whether humans have an accurate model of their own motor uncertainty in a speeded reaching taskHang Zhang, Nathaniel D Daw, Laurence T Maloney
Pageof 16