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Dan Biderman

Showing results (1-10 of 11) with videos related to

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Psychological Science|May 9, 2020
B or 13? Unconscious Top-Down Contextual Effects at the Categorical but Not the Lexical LevelDan Biderman, Yarden Shir, Liad Mudrik
Journal of Experimental Psychology. Human Perception and Performance|April 21, 2017
Contingent capture is weakened in search for multiple features from different dimensionsDan Biderman, Natalie Biderman, Alon Zivony, et al.
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|February 17, 2024
Awareness is needed for contextual effects in ambiguous object recognitionAmir Tal, May Sar-Shalom, Tzahi Krawitz, et al.
Behavior Research Methods|April 9, 2024
Using virtual reality to induce multi-trial inattentional blindness despite trial-by-trial measures of awarenessRony Hirschhorn, Dan Biderman, Natalie Biderman, et al.
Current Biology : CB|July 3, 2025
Direct cerebellar control over motor production in a species with extreme cerebellar enlargementFederico Pedraja, Michael Genecin, Dillon Noone, et al.
Research Square|August 13, 2025
Concerted actions of distinct serotonin neurons orchestrate female pup care behaviorShuyun Alina Xiao, Che Cherry Chen, Patricia Horvath, et al.
Biorxiv : the Preprint Server for Biology|August 6, 2025
Concerted actions of distinct serotonin neurons orchestrate female pup care behaviorShuyun Alina Xiao, Che Cherry Chen, Patricia Horvath, et al.
Plos Computational Biology|September 22, 2021
Partitioning variability in animal behavioral videos using semi-supervised variational autoencodersMatthew R Whiteway, Dan Biderman, Yoni Friedman, et al.
Nature Methods|June 25, 2024
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source toolsDan Biderman, Matthew R Whiteway, Cole Hurwitz, et al.
Biorxiv : the Preprint Server for Biology|May 10, 2023
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source toolsDan Biderman, Matthew R Whiteway, Cole Hurwitz, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Psychological Science|May 9, 2020
B or 13? Unconscious Top-Down Contextual Effects at the Categorical but Not the Lexical LevelDan Biderman, Yarden Shir, Liad Mudrik
Journal of Experimental Psychology. Human Perception and Performance|April 21, 2017
Contingent capture is weakened in search for multiple features from different dimensionsDan Biderman, Natalie Biderman, Alon Zivony, et al.
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|February 17, 2024
Awareness is needed for contextual effects in ambiguous object recognitionAmir Tal, May Sar-Shalom, Tzahi Krawitz, et al.
Behavior Research Methods|April 9, 2024
Using virtual reality to induce multi-trial inattentional blindness despite trial-by-trial measures of awarenessRony Hirschhorn, Dan Biderman, Natalie Biderman, et al.
Current Biology : CB|July 3, 2025
Direct cerebellar control over motor production in a species with extreme cerebellar enlargementFederico Pedraja, Michael Genecin, Dillon Noone, et al.
Research Square|August 13, 2025
Concerted actions of distinct serotonin neurons orchestrate female pup care behaviorShuyun Alina Xiao, Che Cherry Chen, Patricia Horvath, et al.
Biorxiv : the Preprint Server for Biology|August 6, 2025
Concerted actions of distinct serotonin neurons orchestrate female pup care behaviorShuyun Alina Xiao, Che Cherry Chen, Patricia Horvath, et al.
Plos Computational Biology|September 22, 2021
Partitioning variability in animal behavioral videos using semi-supervised variational autoencodersMatthew R Whiteway, Dan Biderman, Yoni Friedman, et al.
Nature Methods|June 25, 2024
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source toolsDan Biderman, Matthew R Whiteway, Cole Hurwitz, et al.
Biorxiv : the Preprint Server for Biology|May 10, 2023
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source toolsDan Biderman, Matthew R Whiteway, Cole Hurwitz, et al.
Pageof 2