Nicolas Brunel

2017- Neurobiology, Physics Duke University, Durham, NC 
Computational neuroscience
"Nicolas Brunel"
Mean distance: 13.7 (cluster 17)
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Pereira U, Brunel N. (2019) Unsupervised Learning of Persistent and Sequential Activity. Frontiers in Computational Neuroscience. 13: 97
Bouvier G, Aljadeff J, Clopath C, et al. (2018) Cerebellar learning using perturbations. Elife. 7
Martí D, Brunel N, Ostojic S. (2018) Correlations between synapses in pairs of neurons slow down dynamics in randomly connected neural networks. Physical Review. E. 97: 062314
Pereira U, Brunel N. (2018) Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data. Neuron
De Pittà M, Brunel N. (2016) Modulation of Synaptic Plasticity by Glutamatergic Gliotransmission: A Modeling Study. Neural Plasticity. 2016: 7607924
Bouvier G, Higgins D, Spolidoro M, et al. (2016) Burst-Dependent Bidirectional Plasticity in the Cerebellum Is Driven by Presynaptic NMDA Receptors. Cell Reports. 15: 104-16
Dubreuil AM, Brunel N. (2016) Storing structured sparse memories in a multi-modular cortical network model. Journal of Computational Neuroscience
Lim S, McKee JL, Woloszyn L, et al. (2015) Inferring learning rules from distributions of firing rates in cortical neurons. Nature Neuroscience
Alemi A, Baldassi C, Brunel N, et al. (2015) A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks. Plos Computational Biology. 11: e1004439
Riordan B, Dye M, Jones MN. (2015) Grammatical number processing and anticipatory eye movements are not tightly coordinated in English spoken language comprehension. Frontiers in Psychology. 6: 590
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