Social human collective decision-making and its applications with brain network models

T Thieu, R Melnik - Crowd Dynamics, Volume 4: Analytics and Human …, 2023 - Springer
A better understanding of social human dynamics would be a powerful tool to improve
nearly any computational endeavour that involves human interactions. This includes …

Multiscale co-simulation design pattern for neuroscience applications

L Kusch, S Diaz-Pier, W Klijn, K Sontheimer… - Frontiers in …, 2024 - frontiersin.org
Integration of information across heterogeneous sources creates added scientific value.
Interoperability of data, tools and models is, however, difficult to accomplish across spatial …

Brain Network Dynamics and Multiscale Modelling of Neurodegenerative Disorders: A Review

H Shaheen, R Melnik - arXiv preprint arXiv:2410.23445, 2024 - arxiv.org
It is essential to understand the complex structure of the human brain to develop new
treatment approaches for neurodegenerative disorders (NDDs). This review paper …

Modeling the role of the thalamus in resting-state functional connectivity: Nature or structure

J Cabrera-Álvarez, N Doorn, F Maestú… - PLoS computational …, 2023 - journals.plos.org
The thalamus is a central brain structure that serves as a relay station for sensory inputs from
the periphery to the cortex and regulates cortical arousal. Traditionally, it has been regarded …

Neural dynamics in parkinson's disease: Integrating machine learning and stochastic modelling with connectomic data

H Shaheen, R Melnik - International Conference on Computational …, 2024 - Springer
Parkinson's disease (PD) is a neurological disorder defined by the gradual loss of
dopaminergic neurons in the substantia nigra pars compacta, which causes both motor and …

Bayesian Approaches for Revealing Complex Neural Network Dynamics in Parkinson's Disease

H Shaheen, R Melnik - arXiv preprint arXiv:2410.23429, 2024 - arxiv.org
Parkinson's disease (PD) belongs to the class of neurodegenerative disorders that affect the
central nervous system. It is usually defined as the gradual loss of dopaminergic neurons in …

Nonlocal Models in Biology and Life Sciences: Sources, Developments, and Applications

S Pal, R Melnik - arXiv preprint arXiv:2401.14651, 2024 - arxiv.org
Nonlocality is important in realistic mathematical models of physical and biological systems
at small-length scales. It characterizes the properties of two individuals located in different …

Multiscale Modelling of Brain Networks and the Analysis of Dynamic Processes in Neurodegenerative Disorders

H Shaheen - 2024 - scholars.wlu.ca
The complex nature of the human brain, with its intricate organic structure and multiscale
spatio-temporal characteristics ranging from synapses to the entire brain, presents a major …

[PDF][PDF] COUPLED SPATIO-TEMPORAL DYNAMICS AND NONLOCALITY IN ADVANCED MATHEMATICAL MODELS FOR THE ANALYSIS OF COMPLEX …

S PAL, R MELNIK - m3ai.wlu.ca
One in six of the world's population has to deal with neurodegenerative disorders, and while
medical devices exist to detect, prevent, and treat such disorders, some fundamentals of the …