activity
20212025
most citedCombining Coupled Skorokhod SDEs and Lattice Gas Frameworks for Multi-fidelity Modelling of Complex Behavioral Systems

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Nonlinear Dynamical Systems for Automatic Face Annotation in Head Tracking and Pose Estimation

Thoa Thieu, Roderick Melnik

Facial landmark tracking plays a vital role in applications such as facial recognition, expression analysis, and medical diagnostics. In this paper, we consider the performance of…

q-bio.NC2022

Effects of random inputs and short-term synaptic plasticity in a LIF conductance model for working memory applications

Thi Kim Thoa Thieu, Roderick Melnik

Working memory (WM) has been intensively used to enable the temporary storing of information for processing purposes, playing an important role in the execution of various cognitiv…

q-bio.NC2022★ 1 cited

Effects of noise on leaky integrate-and-fire neuron models for neuromorphic computing applications

Thi Kim Thoa Thieu, Roderick Melnik

Artificial neural networks (ANNs) have been extensively used for the description of problems arising from biological systems and for constructing neuromorphic computing models. The…

q-bio.NC2021

Coupled effects of channels and synaptic dynamics in stochastic modelling of healthy and Parkinson's-disease-affected brains

Thi Kim Thoa Thieu, Roderick Melnik

Our brain is a complex information processing network in which the nervous system receives information from the environment to quickly react to incoming events or learns from exper…

physics.data-an2021★ 1 cited

Combining Coupled Skorokhod SDEs and Lattice Gas Frameworks for Multi-fidelity Modelling of Complex Behavioral Systems

Thi Kim Thoa Thieu, Roderick Melnik

To model reliably behavioral systems with complex bio-social interactions, accounting for uncertainty quantification, is critical for many application areas. However, in terms of t…

math.NA2021

Reflecting stochastic dynamics of active-passive populations with applications in operations research and neuroscience

Thi Kim Thoa Thieu, Roderick Melnik

Stochastic dynamic models have been extensively used for the description of processes with uncertainties arising in the operations research, behavioral sciences, and many other app…