Social human collective decision-making and its applications with brain network models
A better understanding of social human dynamics would be a powerful tool to improve
nearly any computational endeavour that involves human interactions. This includes …
nearly any computational endeavour that involves human interactions. This includes …
Multiscale co-simulation design pattern for neuroscience applications
Integration of information across heterogeneous sources creates added scientific value.
Interoperability of data, tools and models is, however, difficult to accomplish across spatial …
Interoperability of data, tools and models is, however, difficult to accomplish across spatial …
Brain Network Dynamics and Multiscale Modelling of Neurodegenerative Disorders: A Review
It is essential to understand the complex structure of the human brain to develop new
treatment approaches for neurodegenerative disorders (NDDs). This review paper …
treatment approaches for neurodegenerative disorders (NDDs). This review paper …
Modeling the role of the thalamus in resting-state functional connectivity: Nature or structure
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
medical devices exist to detect, prevent, and treat such disorders, some fundamentals of the …