activity
20152024
most citedMacroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits

71 citations · 90 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.NC2024

Pattern Formation in a Spiking Neural-Field of Renewal Neurons

Gregory Dumont, Carmen Oana Tarniceriu

Elucidating the neurophysiological mechanisms underlying neural pattern formation remains an outstanding challenge in Computational Neuroscience. In this paper, we address the issu…

q-bio.NC2021

Adjoint Method for Macroscopic Phase-Resetting Curves of Generic Spiking Neural Networks

Gregory Dumont, Alberto Pérez-Cervera, Boris Gutkin

Brain rhythms emerge as a result of synchronization among interconnected spiking neurons. Key properties of such rhythms can be gleaned from the phase-resetting curve (PRC). Inferr…

q-bio.NC2018★ 71 cited

Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits

Gregory Dumont, Boris Gutkin

Macroscopic oscillations of different brain regions show multiple phase relationships that are persistent across time and have been implicated routing information. Various cellular…

math.AP2017★ 14 cited

The mean-field equation of a leaky integrate-and-fire neural network: measure solutions and steady states

Grégory Dumont, Pierre Gabriel

Neural network dynamics emerge from the interaction of spiking cells. One way to formulate the problem is through a theoretical framework inspired by ideas coming from statistical…

math.AP2017

A theoretical connection between the noisy leaky integrate-and-fire and escape rate models: the non-autonomous case

Grégory Dumont, Jacques Henry, Carmen Oana Tarniceriu

One of the most important challenges in mathematical neuroscience is to properly illustrate the stochastic nature of neurons. Among different approaches, the noisy leaky integrate-…

q-bio.NC2016

Theoretical connections between mathematical neuronal models corresponding to different expressions of noise

Grégory Dumont, Jacques Henry, Carmen Oana Tarniceriu

Identifying the right tools to express the stochastic aspects of neural activity has proven to be one of the biggest challenges in computational neuroscience. Even if there is no d…

q-bio.NC2015★ 5 cited

Noisy threshold in neuronal models: connections with the noisy leaky integrate-and-fire model

Grégory Dumont, Jacques Henry, Carmen Oana Tarniceriu

Providing an analytical treatment to the stochastic feature of neurons' dynamics is one of the current biggest challenges in mathematical biology. The noisy leaky integrate-and-fir…