Jean-Pierre Nadal
Affiliations: | École normale supérieure Paris, Paris, Île-de-France, France |
Area:
computational neuroscienceGoogle:
"Jean-Pierre Nadal"Mean distance: 14.99 (cluster 29)
Children
Sign in to add traineeNicolas Brunel | grad student | ENS Paris | |
François Deloche | grad student | 2016-2020 | EHESS |
fabienne cazalis | research scientist | 2015- | École des Hautes Études en Sciences Sociales (EHESS) |
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Publications
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Berlemont K, Nadal JP. (2018) Perceptual decision making: Biases in post-error reaction times explained by attractor network dynamics. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
Bouvier G, Aljadeff J, Clopath C, et al. (2018) Cerebellar learning using perturbations. Elife. 7 |
Bouvier G, Aljadeff J, Clopath C, et al. (2018) Author response: Cerebellar learning using perturbations Elife |
Chandra S, Eldridge M, Hartmann F, et al. (2013) Categorical perception in monkeys: modeling implicit learning of discrete categories Bmc Neuroscience. 14: P288 |
Clopath C, Nadal JP, Brunel N. (2012) Storage of correlated patterns in standard and bistable Purkinje cell models. Plos Computational Biology. 8: e1002448 |
Gauvin L, Nadal JP, Vannimenus J. (2010) Schelling segregation in an open city: a kinetically constrained Blume-Emery-Griffiths spin-1 system. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 81: 066120 |
Gordon MB, Nadal JP, Phan D, et al. (2009) Discrete choices under social influence: Generic properties Mathematical Models and Methods in Applied Sciences. 19: 1441-1481 |
Gauvin L, Vannimenus J, Nadal JP. (2009) Phase diagram of a Schelling segregation model European Physical Journal B. 70: 293-304 |
Semeshenko V, Gordon MB, Nadal JP. (2008) Collective states in social systems with interacting learning agents Physica a: Statistical Mechanics and Its Applications. 387: 4903-4916 |
Barbour B, Brunel N, Hakim V, et al. (2007) What can we learn from synaptic weight distributions? Trends in Neurosciences. 30: 622-9 |