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Jonathan Touboul

Showing results (11-20 of 34) with videos related to

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Frontiers in Computational Neuroscience|March 4, 2009
A constructive mean-field analysis of multi-population neural networks with random synaptic weights and stochastic inputsOlivier Faugeras, Jonathan Touboul, Bruno Cessac
Cells|August 9, 2020
A "Numerical Evo-Devo" Synthesis for the Identification of Pattern-Forming FactorsRichard Bailleul, Marie Manceau, Jonathan Touboul
Development (Cambridge, England)|May 14, 2015
Local homeoprotein diffusion can stabilize boundaries generated by graded positional cuesCristóbal Quiñinao, Alain Prochiantz, Jonathan Touboul
Neural Computation|February 10, 2017
On the Dynamical Interplay of Positive and Negative AffectsJonathan Touboul, Alberto Romagnoni, Robert Schwartz
Neural Computation|August 1, 2012
Exact event-driven implementation for recurrent networks of stochastic perfect integrate-and-fire neuronsThibaud Taillefumier, Jonathan Touboul, Marcelo Magnasco
Neural Computation|September 17, 2011
Neural mass activity, bifurcations, and epilepsyJonathan Touboul, Fabrice Wendling, Patrick Chauvel, et al.
Plos Computational Biology|November 21, 2015
Parsimony, Exhaustivity and Balanced Detection in NeocortexAlberto Romagnoni, Jérôme Ribot, Daniel Bennequin, et al.
Neuroimage|March 28, 2017
The hemodynamic signal as a first-order low-pass temporal filter: Evidence and implications for neuroimaging studiesAntoine Sauvage, Guillaume Hubert, Jonathan Touboul, et al.
Journal of Mathematical Neuroscience|June 5, 2012
Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neuronsJavier Baladron, Diego Fasoli, Olivier Faugeras, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 12, 2025
3D pattern formation of a protein-membrane suspensionAmélie Chardac, Michael M Norton, Jonathan Touboul, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

Sort By:
Pageof 4
Frontiers in Computational Neuroscience|March 4, 2009
A constructive mean-field analysis of multi-population neural networks with random synaptic weights and stochastic inputsOlivier Faugeras, Jonathan Touboul, Bruno Cessac
Cells|August 9, 2020
A "Numerical Evo-Devo" Synthesis for the Identification of Pattern-Forming FactorsRichard Bailleul, Marie Manceau, Jonathan Touboul
Development (Cambridge, England)|May 14, 2015
Local homeoprotein diffusion can stabilize boundaries generated by graded positional cuesCristóbal Quiñinao, Alain Prochiantz, Jonathan Touboul
Neural Computation|February 10, 2017
On the Dynamical Interplay of Positive and Negative AffectsJonathan Touboul, Alberto Romagnoni, Robert Schwartz
Neural Computation|August 1, 2012
Exact event-driven implementation for recurrent networks of stochastic perfect integrate-and-fire neuronsThibaud Taillefumier, Jonathan Touboul, Marcelo Magnasco
Neural Computation|September 17, 2011
Neural mass activity, bifurcations, and epilepsyJonathan Touboul, Fabrice Wendling, Patrick Chauvel, et al.
Plos Computational Biology|November 21, 2015
Parsimony, Exhaustivity and Balanced Detection in NeocortexAlberto Romagnoni, Jérôme Ribot, Daniel Bennequin, et al.
Neuroimage|March 28, 2017
The hemodynamic signal as a first-order low-pass temporal filter: Evidence and implications for neuroimaging studiesAntoine Sauvage, Guillaume Hubert, Jonathan Touboul, et al.
Journal of Mathematical Neuroscience|June 5, 2012
Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neuronsJavier Baladron, Diego Fasoli, Olivier Faugeras, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 12, 2025
3D pattern formation of a protein-membrane suspensionAmélie Chardac, Michael M Norton, Jonathan Touboul, et al.
Pageof 4