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

G Dumont, P Gabriel - Nonlinearity, 2020 - iopscience.iop.org
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 …
被引用次数：32 相关文章

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

G Dumont, P Gabriel - Nonlinearity, 2020 - hal.science
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 …

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

G Dumont, P Gabriel - Nonlinearity (Print), 2020 - inis.iaea.org
[en] 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 …

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

G Dumont, P Gabriel - HAL, 2018 - dml.mathdoc.fr
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 …
[PDF] cnrs.fr

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

G Dumont, P Gabriel - 2020 - pgabriel.perso.math.cnrs.fr
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 …

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

G Dumont, P Gabriel - Nonlinearity, 2020 - inria.hal.science
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 …

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

G Dumont, P Gabriel - 2018 - hal.uvsq.fr
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 …

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

G Dumont, P Gabriel - arXiv preprint arXiv:1710.05596, 2017 - arxiv.org
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 …

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

G Dumont, P Gabriel - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
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 …
[PDF] hal.science

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

G Dumont, P Gabriel - 2017 - hal.science
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 …