Neir Eshel, MSc.
Affiliations: | Harvard Medical School, Boston, MA, United States |
Area:
Cognitive Neuroscience, fMRI, TMS, computational modelingGoogle:
"Neir Eshel"Mean distance: 13.68 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Daniel S. Pine | research assistant | 2001-2005 | NIH/NIMH |
| Jonathan D. Cohen | research assistant | 2004-2007 | Princeton |
| Naoshige Uchida | grad student | Harvard Medical School | |
| Jon Driver | grad student | 2007-2008 | Institute of Cognitive Neuroscience (UCL) |
| Jonathan Roiser | grad student | 2008-2009 | Institute of Cognitive Neuroscience, UCL |
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Publications
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| Lally N, Huys QJM, Eshel N, et al. (2017) The neural basis of aversive Pavlovian guidance during planning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Watabe-Uchida M, Eshel N, Uchida N. (2017) Neural Circuitry of Reward Prediction Error. Annual Review of Neuroscience |
| Eshel N, Tian J, Bukwich M, et al. (2016) Dopamine neurons share common response function for reward prediction error. Nature Neuroscience |
| Eshel N, Marcovitz DE, Stern TA. (2015) Psychiatric Consultations in Less-Than-Private Places: Challenges and Unexpected Benefits of Hospital Roommates. Psychosomatics |
| Eshel N, Bukwich M, Rao V, et al. (2015) Erratum: Arithmetic and local circuitry underlying dopamine prediction errors. Nature |
| Eshel N, Bukwich M, Rao V, et al. (2015) Arithmetic and local circuitry underlying dopamine prediction errors. Nature. 525: 243-6 |
| Huys QJ, Lally N, Faulkner P, et al. (2015) Interplay of approximate planning strategies. Proceedings of the National Academy of Sciences of the United States of America. 112: 3098-103 |
| Eshel N, Tian J. (2014) Dopamine gates sensory representations in cortex. Journal of Neurophysiology. 111: 2161-3 |
| Uchida N, Eshel N, Watabe-Uchida M. (2013) Division of labor for division: inhibitory interneurons with different spatial landscapes in the olfactory system. Neuron. 80: 1106-9 |
| Eshel N, Tian J, Uchida N. (2013) Opening the black box: dopamine, predictions, and learning. Trends in Cognitive Sciences. 17: 430-1 |