Nicolas Brunel
Affiliations: | 2017- | Neurobiology, Physics | Duke University, Durham, NC |
Area:
Computational neuroscienceGoogle:
"Nicolas Brunel"Mean distance: 13.7 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentorJean-Pierre Nadal | grad student | ENS Paris | |
Daniel Amit | post-doc | Sapienza Università di Roma | |
Xiao-Jing Wang | research scientist | Brandeis |
Children
Sign in to add traineeZiyi Gong | grad student | ||
Michael Graupner | grad student | University of Paris V and CNRS | |
Ulises Pereira Obilinovic | grad student | 2013-2018 | Chicago |
Claudia Clopath | post-doc | CNRS, Université Paris V | |
Jian K. Liu | post-doc | ||
Alberto Mazzoni | post-doc | ||
Magnus Richardson | post-doc | University of Warwick, UK | |
Alex Roxin | post-doc | Columbia | |
Ruediger Zillmer | post-doc | 2006-2007 | (Physics Tree) |
Demian Battaglia | post-doc | 2005-2008 | University of Paris V and CNRS |
Kosuke Hamaguchi | post-doc | 2006-2008 | University of Paris V and CNRS |
Srdjan Ostojic | post-doc | 2006-2009 | ENS Paris |
Alireza Alemi | post-doc | 2013-2015 | |
Maurizio De Pittà | post-doc | 2015-2017 | Chicago |
Frederic Lavigne | research scientist | Université Paris 5 - CNRS |
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Publications
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Bachschmid-Romano L, Hatsopoulos NG, Brunel N. (2023) Interplay between external inputs and recurrent dynamics during movement preparation and execution in a network model of motor cortex. Elife. 12 |
Goldt S, Krzakala F, Zdeborová L, et al. (2023) Bayesian reconstruction of memories stored in neural networks from their connectivity. Plos Computational Biology. 19: e1010813 |
De Pittà M, Brunel N. (2022) Multiple forms of working memory emerge from synapse-astrocyte interactions in a neuron-glia network model. Proceedings of the National Academy of Sciences of the United States of America. 119: e2207912119 |
Feng Y, Brunel N. (2022) Storage capacity of networks with discrete synapses and sparsely encoded memories. Physical Review. E. 105: 054408 |
Aljadeff J, Gillett M, Pereira Obilinovic U, et al. (2021) From synapse to network: models of information storage and retrieval in neural circuits. Current Opinion in Neurobiology. 70: 24-33 |
Gillett M, Pereira U, Brunel N. (2020) Characteristics of sequential activity in networks with temporally asymmetric Hebbian learning. Proceedings of the National Academy of Sciences of the United States of America |
Sanzeni A, Histed MH, Brunel N. (2020) Response nonlinearities in networks of spiking neurons. Plos Computational Biology. 16: e1008165 |
Sanzeni A, Akitake B, Goldbach HC, et al. (2020) Inhibition stabilization is a widespread property of cortical networks. Elife. 9 |
Fore TR, Taylor BN, Brunel N, et al. (2020) Acetylcholine modulates cerebellar granule cell spiking by regulating the balance of synaptic excitation and inhibition. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
Sanzeni A, Akitake B, Goldbach HC, et al. (2020) Author response: Inhibition stabilization is a widespread property of cortical networks Elife |