Nicolas Brunel

2017- Neurobiology, Physics Duke University, Durham, NC 
Computational neuroscience
"Nicolas Brunel"
Mean distance: 13.7 (cluster 17)
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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
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
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