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Naoshige Uchida

Affiliations: 
Molecular & Cellular Biology Harvard University, Cambridge, MA, United States 
Area:
Olfaction
Website:
http://www.fas.harvard.edu/~biophys/Naoshige_Uchida.htm
Google:
"Naoshige Uchida"
Bio:

https://www.mcb.harvard.edu/mcb/faculty/profile/nao-uchida/
https://www.mcb.harvard.edu/mcb/news/news-detail/3370/naoshige-uchida-goes-in-search-of-the-mind/

Mean distance: 12.61 (cluster 17)
 		SNBCP
Cross-listing: Chemistry Tree

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Parents

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Masatoshi Takeichi post-doc RIKEN Center for Developmental Biology
Kensaku Mori post-doc 2000 RIKEN BSI
Zachary F. Mainen post-doc 2006 CSHL

Children

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Shudi Xu research assistant 2021-2023 Harvard
Neir Eshel grad student Harvard Medical School
Sandra Romero Pinto grad student Harvard
JU TIAN grad student 2010- Harvard
William S. Menegas grad student 2013- Harvard
Kevin M. Cury grad student 2006-2011 Harvard
Mackenzie Weygandt Mathis grad student 2013-2017 Harvard
Clara K Starkweather grad student 2015-2018 Harvard
Adam S Lowet grad student 2018-2024 Harvard
Lechen Selina Qian grad student 2018-2024 Harvard
Malcolm G. Campbell post-doc Harvard
Jeremiah Y. Cohen post-doc Harvard
Sebastian Haesler post-doc Harvard
Sara Matias post-doc Harvard
Bénédicte M Babayan post-doc 2014-
HyungGoo R. Kim post-doc 2014- Harvard
Jaeeon Lee post-doc 2022- Harvard
Rafi Haddad post-doc 2010-2014 Harvard
Athar N. Malik post-doc 2018-2020 Harvard

Collaborators

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Publications

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Gershman SJ, Assad JA, Datta SR, et al. (2024) Explaining dopamine through prediction errors and beyond. Nature Neuroscience
Qian L, Burrell M, Hennig JA, et al. (2024) The role of prospective contingency in the control of behavior and dopamine signals during associative learning. Biorxiv : the Preprint Server For Biology
Amo R, Uchida N, Watabe-Uchida M. (2024) Glutamate inputs send prediction error of reward, but not negative value of aversive stimuli, to dopamine neurons. Neuron. 112: 1001-1019.e6
Tolooshams B, Matias S, Wu H, et al. (2024) Interpretable deep learning for deconvolutional analysis of neural signals. Biorxiv : the Preprint Server For Biology
Lowet AS, Zheng Q, Meng M, et al. (2024) An opponent striatal circuit for distributional reinforcement learning. Biorxiv : the Preprint Server For Biology
Masset P, Tano P, Kim HR, et al. (2023) Multi-timescale reinforcement learning in the brain. Biorxiv : the Preprint Server For Biology
Romero Pinto S, Uchida N. (2023) Tonic dopamine and biases in value learning linked through a biologically inspired reinforcement learning model. Biorxiv : the Preprint Server For Biology
Amo R, Uchida N, Watabe-Uchida M. (2023) Glutamate inputs send prediction error of reward but not negative value of aversive stimuli to dopamine neurons. Biorxiv : the Preprint Server For Biology
Bukwich M, Campbell MG, Zoltowski D, et al. (2023) Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics. Biorxiv : the Preprint Server For Biology
Hennig JA, Romero Pinto SA, Yamaguchi T, et al. (2023) Emergence of belief-like representations through reinforcement learning. Plos Computational Biology. 19: e1011067
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