Bruno Cessac
Affiliations: | INRIA Sophia Antipolis, Biot, Provence-Alpes-Côte d'Azur, France |
Website:
http://www.inln.cnrs.fr/rubrique.php3?id_rubrique=40Google:
"Bruno Cessac"Mean distance: 53433
Children
Sign in to add trainee| Juan Carlos Vasquez Betancur | grad student | 2006-2010 | INRIA Sophia Antipolis |
| Rodrigo COFRE | grad student | 2010-2014 |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Cessac B. (2022) Retinal Processing: Insights from Mathematical Modelling. Journal of Imaging. 8 |
| Cessac B, Ampuero I, Cofré R. (2021) Linear Response of General Observables in Spiking Neuronal Network Models. Entropy (Basel, Switzerland). 23 |
| Cofré R, Maldonado C, Cessac B. (2020) Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics. Entropy (Basel, Switzerland). 22 |
| Vohryzek J, Deco G, Cessac B, et al. (2020) Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States. Frontiers in Systems Neuroscience. 14: 20 |
| Cessac B. (2019) Linear response in neuronal networks: From neurons dynamics to collective response. Chaos (Woodbury, N.Y.). 29: 103105 |
| Matzakos-Karvouniari D, Gil L, Orendorff E, et al. (2019) A biophysical model explains the spontaneous bursting behavior in the developing retina. Scientific Reports. 9: 1859 |
| Cessac B, Kornprobst P, Kraria S, et al. (2017) PRANAS: A New Platform for Retinal Analysis and Simulation. Frontiers in Neuroinformatics. 11: 49 |
| Cessac B, Le Ny A, Löcherbach E. (2016) On the Mathematical Consequences of Binning Spike Trains. Neural Computation. 1-25 |
| Atay FM, Banisch S, Blanchard P, et al. (2016) Perspectives on Multi-Level Dynamics The Interdisciplinary Journal of Discontinuity, Nonlinearity, and Complexity. 5: 313-339 |
| Pamplona D, Hilgen G, Cessac B, et al. (2015) A super-resolution approach for receptive fields estimation of neuronal ensembles Bmc Neuroscience. 16 |