6 citations · 6 across the 4 of their papers we have counts for
4 papers
The Most Probable Transition Paths of Stochastic Dynamical Systems: A Sufficient and Necessary Characterization
Yuanfei Huang, Qiao Huang, Jinqiao Duan
The most probable transition paths of a stochastic dynamical system are the global minimizers of the Onsager-Machlup action functional and can be described by a necessary but not s…
Estimating the Most Probable Transition Time for Stochastic Dynamical Systems
Yuanfei Huang, Ying Chao, Wei Wei +1
This work is devoted to the investigation of the most probable transition time between metastable states for stochastic dynamical systems. Such a system is modeled by a stochastic…
Characterization of the Most Probable Transition Paths of Stochastic Dynamical Systems with Stable Lévy Noise
Yuanfei Huang, Ying Chao, Shenglan Yuan +1
This work is devoted to the investigation of the most probable transition path for stochastic dynamical systems driven by either symmetric -stable Lévy motion () or Brown…
Modelling brain-wide neuronal morphology via rooted Cayley trees
Congping Lin, Yuanfei Huang, Tingwei Quan +1
Neuronal morphology is an essential element for brain activity and function. We take advantage of current availability of brain-wide neuron digital reconstructions of the Pyramidal…