activity
20072023
most citedPower-law statistics and universal scaling in the absence of criticality

232 citations · 930 across the 41 of their papers we have counts for

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Showing 2013Show all

7 papers · 1 filter

math.PR2013★ 25 cited

Index Distribution of the Ginibre Ensemble

Romain Allez, Jonathan Touboul, Gilles Wainrib

Complex systems, and in particular random neural networks, are often described by randomly interacting dynamical systems with no specific symmetry. In that context, characterizing…

q-bio.NC2013★ 13 cited

Spatially extended networks with singular multi-scale connectivity patterns

Jonathan Touboul

The cortex is a very large network characterized by a complex connectivity including at least two scales: a microscopic scale at which the interconnections are non-specific and ver…

math-ph2013★ 1 cited

Limits and dynamics of randomly connected neuronal networks

Cristobal Quininao, Jonathan Touboul

Networks of the brain are composed of a very large number of neurons connected through a random graph and interacting after random delays that both depend on the anatomical distanc…

cond-mat.dis-nn2013★ 7 cited

Synchronization in random balanced networks

Luis Carlos Garcidel Molino, Khashayar Pakdaman, Jonathan Touboul +1

Characterizing the in uence of network properties on the global emerging behavior of interacting elements constitutes a central question in many areas, from physical to social scie…

math.DS2013★ 4 cited

Noise-induced canard and mixed-mode oscillations in large stochastic networks with multiple timescales

Jonathan Touboul, Maciej Krupa, Mathieu Desroches

We investigate the dynamics of large stochastic networks with different timescales and nonlinear mean-field interactions. After deriving the limit equations for a general class of…

q-bio.NC2013★ 7 cited

Macroscopic equations governing noisy spiking neuronal populations

Mathieu Galtier, Jonathan Touboul

At functional scales, cortical behavior results from the complex interplay of a large number of excitable cells operating in noisy environments. Such systems resist to mathematical…