G. Dumont

发表

Is There a Nonadditive Interaction Between Spontaneous and Evoked Activity? Phase‐Dependence and Its Relation to the Temporal Structure of Scale‐Free Brain Activity

Rui Dai, André Longtin, Xuchu Weng, 2015, Cerebral cortex.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

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

G. Dumont, Pierre Gabriel, 2017, Nonlinearity.

Dopaminergic Neurons in the Ventral Tegmental Area and Their Dysregulation in Nicotine Addiction

R. Maex, B. Gutkin, G. Dumont, 2018 .

Population density models of integrate-and-re neurons with jumps

G. Dumont, J. Henry, I. Bordeaux, 2012 .

A framework for macroscopic phase-resetting curves for generalised spiking neural networks

B. Gutkin, G. Dumont, Alberto Pérez-Cervera, 2022, PLoS Comput. Biol..

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

G. Dumont, C. O. Tarniceriu, J. Henry, 2016, Journal of Mathematical Biology.

A Density Model for a Population of Theta Neurons

G. Dumont, J. Henry, C. O. Tarniceriu, 2014, Journal of mathematical neuroscience.

Synchronization of an Excitatory Integrate-and-Fire Neural Network

G. Dumont, J. Henry, 2013, Bulletin of Mathematical Biology.

Phase response approaches to neural activity models with distributed delay

B. Gutkin, E. Schöll, G. Dumont, 2021, Biological Cybernetics.

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

Boris Gutkin, Grégory Dumont, B. Gutkin, 2018, PLoS Comput. Biol..

A stochastic model of input effectiveness during irregular gamma rhythms

André Longtin, Georg Northoff, Grégory Dumont, 2016, Journal of Computational Neuroscience.

Synchronization of an Excitatory Integrate-and-Fire Neural Network

Grégory Dumont, Jacques Henry, G. Dumont, 2013, Bulletin of mathematical biology.

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

J Henry, G Dumont, C O Tarniceriu, 2015, Journal of mathematical biology.

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

Jacques Henry, Carmen Oana Tarniceriu, Grégory Dumont, 2016, Journal of theoretical biology.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Romain D. Cazé, Alfred B. Yu, Derek K. Jones, 2017, BMC Neuroscience.

Population density models of integrate-and-fire neurons with jumps: well-posedness

Grégory Dumont, Jacques Henry, G. Dumont, 2012, Journal of Mathematical Biology.

A theoretical connection between the Noisy Leaky integrate-and-fire and the escape rate models: The non-autonomous case

Jacques Henry, Gr'egory Dumont, Carmen Oana Tarniceriu, 2017, Mathematical Modelling of Natural Phenomena.

Macroscopic phase-resetting curves for spiking neural networks.

Boris Gutkin, Grégory Dumont, G. Bard Ermentrout, 2017, Physical review. E.

A Density Model for a Population of Theta Neurons

G. Dumont, J. Henry, C. O. Tarniceriu, 2014, Journal of Mathematical Neuroscience.

A framework for macroscopic phase-resetting curves for generalised spiking neural networks

B. Gutkin, G. Dumont, Alberto Pérez-Cervera, 2021, PLoS Comput. Biol..

A stochastic-field description of finite-size spiking neural networks

André Longtin, Alexandre Payeur, Grégory Dumont, 2017, PLoS Comput. Biol..

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Romain D. Cazé, Alfred B. Yu, Derek K. Jones, 2017, BMC Neuroscience.

A stochastic model of input effectiveness during irregular gamma rhythms

A. Longtin, G. Northoff, G. Dumont, 2015, Journal of Computational Neuroscience.