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Jonathan Touboul
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2020 – today
- 2024
- [j23]Denis D. Patterson
, Carla Staver
Spatial Dynamics with Heterogeneity. SIAM J. Appl. Math. 84(3): S225-S248 (2024) - 2021
- [j22]Jonathan E. Rubin
Type III Responses to Transient Inputs in Hybrid Nonlinear Neuron Models. SIAM J. Appl. Dyn. Syst. 20(2): 953-980 (2021) - 2020
- [j21]Cristobal Quininao, Jonathan D. Touboul
Clamping and Synchronization in the Strongly Coupled FitzHugh-Nagumo Model. SIAM J. Appl. Dyn. Syst. 19(2): 788-827 (2020) - [j20]Denis D. Patterson
Probabilistic Foundations of Spatial Mean-Field Models in Ecology and Applications. SIAM J. Appl. Dyn. Syst. 19(4): 2682-2719 (2020)
2010 – 2019
- 2018
- [j19]Gaëtan Vignoud, Laurent Venance
Interplay of multiple pathways and activity-dependent rules in STDP. PLoS Comput. Biol. 14(8) (2018) - 2017
- [j18]Jonathan Touboul, Alberto Romagnoni, Robert Schwartz:
On the Dynamical Interplay of Positive and Negative Affects. Neural Comput. 29(4): 897-936 (2017) - [j17]Antoine Sauvage, Guillaume Hubert, Jonathan Touboul, Jérôme Ribot
The hemodynamic signal as a first-order low-pass temporal filter: Evidence and implications for neuroimaging studies. NeuroImage 155: 394-405 (2017) - 2016
- [j16]Maciej Krupa, Jonathan D. Touboul:
Complex Oscillations in the Delayed FitzHugh-Nagumo Equation. J. Nonlinear Sci. 26(1): 43-81 (2016) - [j15]Jérôme Ribot
Pinwheel-dipole configuration in cat early visual cortex. NeuroImage 128: 63-73 (2016) - 2015
- [j14]Alberto Romagnoni, Jérôme Ribot
Parsimony, Exhaustivity and Balanced Detection in Neocortex. PLoS Comput. Biol. 11(11) (2015) - [j13]Jonathan Touboul, Martin Krupa, Mathieu Desroches:
Noise-induced Canard and Mixed-Mode Oscillations in Large-Scale Stochastic Networks. SIAM J. Appl. Math. 75(5): 2024-2049 (2015) - 2014
- [j12]Grégory Faye, Jonathan Touboul:
Pulsatile Localized Dynamics in Delayed Neural Field Equations in Arbitrary Dimension. SIAM J. Appl. Math. 74(5): 1657-1690 (2014) - 2012
- [j11]Thibaud O. Taillefumier, Jonathan Touboul, Marcelo Magnasco:
Exact Event-Driven Implementation for Recurrent Networks of Stochastic Perfect Integrate-and-Fire Neurons. Neural Comput. 24(12): 3145-3180 (2012) - [j10]Jonathan Touboul, Geoffroy Hermann, Olivier D. Faugeras:
Noise-Induced Behaviors in Neural Mean Field Dynamics. SIAM J. Appl. Dyn. Syst. 11(1): 49-81 (2012) - 2011
- [j9]Jonathan Touboul, G. Bard Ermentrout:
Finite-size and correlation-induced effects in mean-field dynamics. J. Comput. Neurosci. 31(3): 453-484 (2011) - [j8]Jonathan Touboul, Olivier D. Faugeras:
A Markovian event-based framework for stochastic spiking neural networks. J. Comput. Neurosci. 31(3): 485-507 (2011) - [j7]Jonathan Touboul:
On the Simulation of Nonlinear Bidimensional Spiking Neuron Models. Neural Comput. 23(7): 1704-1742 (2011) - [j6]Jonathan Touboul, Fabrice Wendling
Neural Mass Activity, Bifurcations, and Epilepsy. Neural Comput. 23(12): 3232-3286 (2011) - 2010
- [i1]Jonathan Touboul:
On the simulation of nonlinear bidimensional spiking neuron models. CoRR abs/1008.1954 (2010)
2000 – 2009
- 2009
- [j5]Olivier D. Faugeras, Jonathan Touboul, Bruno Cessac:
A constructive mean-field analysis of multi population neural networks with random synaptic weights and stochastic inputs. Frontiers Comput. Neurosci. 3: 1 (2009) - [j4]Jonathan Touboul:
Importance of the Cutoff Value in the Quadratic Adaptive Integrate-and-Fire Model. Neural Comput. 21(8): 2114-2122 (2009) - [j3]Jonathan Touboul, Romain Brette
Spiking Dynamics of Bidimensional Integrate-and-Fire Neurons. SIAM J. Appl. Dyn. Syst. 8(4): 1462-1506 (2009) - 2008
- [j2]Jonathan Touboul, Romain Brette
Dynamics and bifurcations of the adaptive exponential integrate-and-fire model. Biol. Cybern. 99(4-5): 319-334 (2008) - [j1]Jonathan Touboul:
Bifurcation Analysis of a General Class of Nonlinear Integrate-and-Fire Neurons. SIAM J. Appl. Math. 68(4): 1045-1079 (2008)
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