Neural field models are nonlinear integro-differential equations for the evolution of neuronal activity, and they are a prototypical large-scale, coarse-grained neuronal model in continuum cortices. Neural fields are often simulated heuristically and, in spite of their popularity in mathematical neuroscience, their numerical analysis is not yet...
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December 6, 2022 (v1)Journal articleUploaded on: February 22, 2023
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March 19, 2020 (v1)Journal article
We study localized patterns in an exact mean-field description of a spatially-extended network of quadratic integrate-and-fire (QIF) neurons. We investigate conditions for the existence and stability of localized solutions, so-called bumps, and give an analytic estimate for the parameter range where these solutions exist in parameter space,...
Uploaded on: December 4, 2022 -
December 8, 2020 (v1)Publication
We revisit elliptic bursting dynamics from the viewpoint of torus canard solutions. We show that at the transition to and from elliptic burstings, classical or mixed-type torus canards can appear, the difference between the two being the fast subsystem bifurcation that they approach, saddle-node of cycles for the former and subcritical Hopf for...
Uploaded on: December 4, 2022 -
April 12, 2017 (v1)Journal article
Canards are special solutions to ordinary differential equations that follow invariant repelling slow manifolds for long time intervals. In realistic biophysical single-cell models, canards are responsible for several complex neural rhythms observed experimentally, but their existence and role in spatially extended systems is largely...
Uploaded on: March 25, 2023 -
February 25, 2022 (v1)Publication
We show that during the transition from and to elliptic burstings both classical and mixed-type torus canards appear in a Wilson-Cowan type neuronal network model, as well as in its corresponding mean-field framework. We show numerically the overlap between the network and mean-field dynamics. We comment on that mixed-type torus canards result...
Uploaded on: December 3, 2022 -
June 2021 (v1)Journal article
International audience
Uploaded on: December 3, 2022 -
April 19, 2022 (v1)Journal article
We report a detailed analysis on the emergence of bursting in a recently developed neural mass model that takes short-term synaptic plasticity into account. The one being used here is particularly important, as it represents an exact meanfield limit of synaptically coupled quadratic integrate & fire neurons, a canonical model for type I...
Uploaded on: December 3, 2022 -
March 2020 (v1)Journal article
International audience
Uploaded on: February 22, 2023 -
January 2019 (v1)Journal article
Neural field models are commonly used to describe wave propagation and bump attractors at a tissue level inthe brain. Although motivated by biology, these models are phenomenological in nature. They are built on theassumption that the neural tissue operates in a near synchronous regime, and hence, cannot account for changesin the underlying...
Uploaded on: December 4, 2022 -
October 3, 2022 (v1)Journal article
From the action potentials of neurons and cardiac cells to the amplification of calcium signals in oocytes, excitability is a hallmark of many biological signalling processes. In recent years, excitability in single cells has been related to multiple-timescale dynamics through canards, special solutions which determine the effective thresholds...
Uploaded on: December 4, 2022 -
January 2020 (v1)Journal article
Inner hair cells (IHCs) are excitable sensory cells in the inner ear that encode acoustic information. Before the onset of hearing IHCs fire calcium-based action potentials that trigger transmitter release onto developing spiral ganglion neurones. There is accumulating experimental evidence that these spontaneous firing patterns are associated...
Uploaded on: December 4, 2022 -
2020 (v1)Journal article
International audience
Uploaded on: February 22, 2023 -
November 18, 2020 (v1)Journal article
We present a rigorous framework for the local analysis of canards and slow passages through bifurcations in a wide class of infinite-dimensional dynamical systems with time-scale separation. The framework is applicable to models where an infinite-dimensional dynamical system for the fast variables is coupled to a finite-dimensional dynamical...
Uploaded on: December 4, 2022 -
October 11, 2017 (v1)Journal article
submitted for publication
Uploaded on: March 25, 2023 -
April 26, 2013 (v1)Publication
We study localised activity patterns in neural field equations posed on the Euclidean plane; such models are commonly used to describe the coarse-grained activity of large ensembles of cortical neurons in a spatially continuous way. We employ matrix-free Newton-Krylov solvers and perform numerical continuation of localised patterns directly on...
Uploaded on: October 11, 2023 -
February 2020 (v1)Journal article
International audience
Uploaded on: February 22, 2023 -
April 26, 2013 (v1)Publication
We study localised activity patterns in neural field equations posed on the Euclidean plane; such models are commonly used to describe the coarse-grained activity of large ensembles of cortical neurons in a spatially continuous way. We employ matrix-free Newton-Krylov solvers and perform numerical continuation of localised patterns directly on...
Uploaded on: December 3, 2022 -
2017 (v1)Publication
Hypercholesterolaemia provokes reactive oxygen species (ROS) increase and is a major risk factor for cardiovascular disease (CVD) development. We previously showed that circulating miR-33a/b expression levels were up-regulated in children with familial hypercholesterolaemia (FH). miR-33a/b control cholesterol homoeostasis and recently miR-33b...
Uploaded on: October 11, 2023