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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| Lorenzi RM, Geminiani A, Zerlaut Y, et al. (2023) A multi-layer mean-field model of the cerebellum embedding microstructure and population-specific dynamics. Plos Computational Biology. 19: e1011434 |
| Koukouli F, Montmerle M, Aguirre A, et al. (2022) Visual-area-specific tonic modulation of GABA release by endocannabinoids sets the activity and coordination of neocortical principal neurons. Cell Reports. 40: 111202 |
| Zerlaut Y, Zucca S, Fellin T, et al. (2022) Network States Classification based on Local Field Potential Recordings in the Awake Mouse Neocortex. Eneuro. 9 |
| Morabito A, Zerlaut Y, Serraz B, et al. (2022) Activity-dependent modulation of NMDA receptors by endogenous zinc shapes dendritic function in cortical neurons. Cell Reports. 38: 110415 |
| 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 |
| Zerlaut Y, Zucca S, Panzeri S, et al. (2019) The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex. Cell Reports. 27: 1119-1132.e7 |
| 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 |