Jonathan Touboul

According to our database1, Jonathan Touboul authored at least 22 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Type III Responses to Transient Inputs in Hybrid Nonlinear Neuron Models.
SIAM J. Appl. Dyn. Syst., 2021

2020
Clamping and Synchronization in the Strongly Coupled FitzHugh-Nagumo Model.
SIAM J. Appl. Dyn. Syst., 2020

Probabilistic Foundations of Spatial Mean-Field Models in Ecology and Applications.
SIAM J. Appl. Dyn. Syst., 2020

2018
Interplay of multiple pathways and activity-dependent rules in STDP.
PLoS Comput. Biol., 2018

2017
The hemodynamic signal as a first-order low-pass temporal filter: Evidence and implications for neuroimaging studies.
NeuroImage, 2017

On the Dynamical Interplay of Positive and Negative Affects.
Neural Comput., 2017

2016
Pinwheel-dipole configuration in cat early visual cortex.
NeuroImage, 2016

Complex Oscillations in the Delayed FitzHugh-Nagumo Equation.
J. Nonlinear Sci., 2016

2015
Noise-induced Canard and Mixed-Mode Oscillations in Large-Scale Stochastic Networks.
SIAM J. Appl. Math., 2015

Parsimony, Exhaustivity and Balanced Detection in Neocortex.
PLoS Comput. Biol., 2015

2014
Pulsatile Localized Dynamics in Delayed Neural Field Equations in Arbitrary Dimension.
SIAM J. Appl. Math., 2014

2012
Noise-Induced Behaviors in Neural Mean Field Dynamics.
SIAM J. Appl. Dyn. Syst., 2012

Exact Event-Driven Implementation for Recurrent Networks of Stochastic Perfect Integrate-and-Fire Neurons.
Neural Comput., 2012

2011
Neural Mass Activity, Bifurcations, and Epilepsy.
Neural Comput., 2011

On the Simulation of Nonlinear Bidimensional Spiking Neuron Models.
Neural Comput., 2011

A Markovian event-based framework for stochastic spiking neural networks.
J. Comput. Neurosci., 2011

Finite-size and correlation-induced effects in mean-field dynamics.
J. Comput. Neurosci., 2011

2009
Spiking Dynamics of Bidimensional Integrate-and-Fire Neurons.
SIAM J. Appl. Dyn. Syst., 2009

Importance of the Cutoff Value in the Quadratic Adaptive Integrate-and-Fire Model.
Neural Comput., 2009

A constructive mean-field analysis of multi population neural networks with random synaptic weights and stochastic inputs.
Frontiers Comput. Neurosci., 2009

2008
Bifurcation Analysis of a General Class of Nonlinear Integrate-and-Fire Neurons.
SIAM J. Appl. Math., 2008

Dynamics and bifurcations of the adaptive exponential integrate-and-fire model.
Biol. Cybern., 2008


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