Yann Zerlaut
Affiliations: | UNIC | CNRS, Paris, Île-de-France, France |
Area:
Biophysics, Computational NeuroscienceGoogle:
"Yann Zerlaut"Mean distance: 14.24 (cluster 17) | S | N | B | C | P |
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Publications
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Carlu M, Chehab O, Dalla Porta L, et al. (2019) A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models. Journal of Neurophysiology |
Chemla S, Reynaud A, di Volo M, et al. (2019) Suppressive traveling waves shape representations of illusory motion in primary visual cortex of awake primate. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
Zerlaut Y, Chemla S, Chavane F, et al. (2017) Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. Journal of Computational Neuroscience |
Zerlaut Y, Destexhe A. (2017) Enhanced Responsiveness and Low-Level Awareness in Stochastic Network States. Neuron. 94: 1002-1009 |
Zerlaut Y, Destexhe A. (2017) Heterogeneous firing responses predict diverse couplings to presynaptic activity in mice layer V pyramidal neurons. Plos Computational Biology. 13: e1005452 |
Zerlaut Y, Teleńczuk B, Deleuze C, et al. (2016) Heterogeneous firing rate response of mice layer V pyramidal neurons in the fluctuation-driven regime. The Journal of Physiology |
Reig R, Zerlaut Y, Vergara R, et al. (2015) Gain modulation of synaptic inputs by network state in auditory cortex in vivo. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 2689-702 |