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Nicholas B. Turk-Browne

Affiliations: 
2009-2017 Princeton University, Princeton, NJ 
 2017- Yale University, New Haven, CT 
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"Nicholas Turk-Browne"
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Parents

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Marvin M. Chun grad student 2004-2009 Yale
 (The nature of visual statistical learning.)
Brian J. Scholl grad student 2004-2009 Yale
 (The nature of visual statistical learning.)

Children

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Jonathan Daniels research assistant 2019- Yale
Sam Victor Norman-Haignere research assistant 2007-2009 Yale
Alexa Tompary research assistant 2010-2012 Princeton
Victoria Ritvo research assistant 2012-2014 Princeton
Lindsay Rait research assistant 2017-2019 Yale
Sreejan Kumar research assistant 2018-2019
Matthew F. Panichello grad student 2013- Princeton
Cameron Ellis grad student 2014- Yale
Brynn Sherman grad student 2017- Yale
Kathryn Graves grad student 2018- Yale
Tristan Yates grad student 2018- Yale
Erica L. Busch grad student 2020- Yale
Lillian Behm grad student 2022- Yale
Sara C. Verosky grad student 2009-2012 Princeton
Matt A. Johnson grad student 2013 Princeton
Jiaying Zhao grad student 2009-2013 Princeton
Anna C. Schapiro grad student 2009-2014 Princeton
Wouter Kool grad student 2010-2015 Princeton
Megan deBettencourt grad student 2010-2016 Princeton
Judith E. Fan grad student 2011-2016 Princeton
Ghootae Kim grad student 2011-2016 Princeton
Natalia Cordova grad student 2012-2017 Princeton
David Huberdeau post-doc 2017- Yale
Jeffrey Wammes post-doc 2017- Yale
Naseem Al-Aidroos post-doc 2010-2011 Princeton
J. Benjamin Hutchinson post-doc 2011-2016 Princeton
Vikranth Rao Bejjanki post-doc 2012-2016 Princeton
Nicholas C. Hindy post-doc 2012-2017 Princeton
Mariam Aly post-doc 2013-2017 Princeton
Peter Kok post-doc 2016-2018 Yale

Collaborators

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Samuel A. Nastase collaborator Yale
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Publications

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Ritvo VJH, Nguyen A, Turk-Browne NB, et al. (2024) A neural network model of differentiation and integration of competing memories. Elife. 12
Sherman BE, Huang I, Wijaya EG, et al. (2024) Acute Stress Effects on Statistical Learning and Episodic Memory. Journal of Cognitive Neuroscience. 1-19
Turk-Browne NB, Aslin RN. (2024) Infant neuroscience: how to measure brain activity in the youngest minds. Trends in Neurosciences
Zhuang C, Xiang V, Bai Y, et al. (2024) How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? Advances in Neural Information Processing Systems. 35: 22628-22642
Aljishi A, Sherman BE, Huberdeau DM, et al. (2023) Statistical learning in epilepsy: behavioral and anatomical mechanisms in the human brain. Epilepsia
Peng K, Wammes JD, Nguyen A, et al. (2023) INDUCING REPRESENTATIONAL CHANGE IN THE HIPPOCAMPUS THROUGH REAL-TIME NEUROFEEDBACK. Biorxiv : the Preprint Server For Biology
Sherman BE, Harris BB, Turk-Browne NB, et al. (2023) Hippocampal Mechanisms Support Cortisol-Induced Memory Enhancements. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 43: 7198-7212
Yates TS, Ellis CT, Turk-Browne NB. (2023) Functional networks in the infant brain during sleep and wake states. Cerebral Cortex (New York, N.Y. : 1991)
Busch EL, Huang J, Benz A, et al. (2023) Multi-view manifold learning of human brain-state trajectories. Nature Computational Science. 3: 240-253
Sherman BE, Turk-Browne NB, Goldfarb EV. (2023) Multiple Memory Subsystems: Reconsidering Memory in the Mind and Brain. Perspectives On Psychological Science : a Journal of the Association For Psychological Science. 17456916231179146
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