activity
20122020
most citedStochastic FitzHugh-Nagumo neuron model in excitable regime embeds a leaky integrate-and-fire model

49 citations · 90 across the 11 of their papers we have counts for

collaborators

12 papers

nlin.AO2020★ 1 cited

Levy noise-induced self-induced stochastic resonance in a memristive neuron

Marius E. Yamakou, Tat Dat Tran

Self-induced stochastic resonance (SISR) is a subtle resonance mechanism requiring a nontrivial scaling limit between the stochastic and the deterministic timescales of an excitabl…

math.FA2020★ 1 cited

Differentiation of measures on complete Riemannian manifolds

Jürgen Jost, Hông Vân Lê, Tat Dat Tran

In this note we give a new proof of a version of the Besicovitch covering theorem, given in \cite{EG1992}, \cite{Bogachev2007} and extended in \cite{Federer1969}, for locally finit…

math.PR2020

On the asymptotic behavior of the Diaconis and Freedman's chain in a multidimensional simplex

Marc Peigné, Tat Dat Tran

In this paper, we give out a setting of an Diaconis and Freedman's chain in a multidimensional simplex and consider its asymptotic behavior. By using techniques in random iterated…

q-bio.PE2020

Adaptive Bet-Hedging Revisited: Considerations of Risk and Time Horizon

Omri Tal, Tat Dat Tran

Models of adaptive bet-hedging commonly adopt insights from Kelly's famous work on optimal gambling strategies and the financial value of information. In particular, such models se…

math.ST2019★ 9 cited

Probabilistic morphisms and Bayesian nonparametrics

Jürgen Jost, Hông Vân Lê, Tat Dat Tran

In this paper we develop a functorial language of probabilistic morphisms and apply it to some basic problems in Bayesian nonparametrics. First we extend and unify the Kleisli cate…

math.DS2018★ 49 cited

Stochastic FitzHugh-Nagumo neuron model in excitable regime embeds a leaky integrate-and-fire model

Marius E. Yamakou, Tat Dat Tran, Luu Hoang Duc +1

In this paper, we provide a complete mathematical construction for a stochastic leaky-integrate-and-fire model (LIF) mimicking the interspike interval (ISI) statistics of a stochas…

math.PR2016

Ergodicity of scalar stochastic differential equations with Hölder continuous coefficients

Duc Hoang Luu, Tat Dat Tran, Jürgen Jost

It is well-known that for a one dimensional stochastic differential equation driven by Brownian noise, with coefficient functions satisfying the assumptions of the Yamada-Watanabe…

math.AP2014★ 2 cited

The uniqueness of hierarchically extended backward solutions of the Wright-Fisher model

Julian Hofrichter, Tat Dat Tran, Jürgen Jost

The diffusion approximation of the Wright-Fisher model of population genetics leads to partial differentiable equations, the so-called Kolmogorov equations, with an operator that d…

math.AP2014★ 4 cited

A hierarchical extension scheme for backward solutions of the Wright-Fisher model

Julian Hofrichter, Tat Dat Tran, Jürgen Jost

We develop an iterative global solution scheme for the backward Kolmogorov equation of the diffusion approximation of the Wright-Fisher model of population genetics. That model des…

math.AP2014★ 2 cited

A hierarchical extension scheme for solutions of the Wright-Fisher model

Julian Hofrichter, Tat Dat Tran, Jürgen Jost

We develop a global and hierarchical scheme for the forward Kolmogorov (Fokker-Planck) equation of the diffusion approximation of the Wright-Fisher model of population genetics. Th…

math.PR2014★ 8 cited

The evolution of moment generating functions for the Wright Fisher model of population genetics

Tat Dat Tran, Julian Hofrichter, Juergen Jost

We derive and apply a partial differential equation for the moment generating function of the Wright-Fisher model of population genetics.

math.AP2012★ 14 cited

A general solution of the Wright-Fisher model of random genetic drift

Tat-Dat Tran, Julian Hofrichter, Juergen Jost

We develop a general solution for the Fokker-Planck (Kolomogorov) equation representing the diffusion limit of the Wright-Fisher model of random genetic drift for an arbitrary numb…