Speakers
Description
Understanding brain function requires integrating processes across multiple spatial and temporal scales from neuronal and synaptic dynamics to large neural networks. Mathematical and theoretical modeling is crucial for linking these scales and for providing mechanistic insight into how normal brain function arises and how it is disrupted in disease.
This minisymposium focuses on mathematical models of brain function and neural systems. Particular attention will be given to how these models can be used to study pathological alterations of brain function, with Alzheimer’s disease serving as a key application and motivating example rather than the exclusive focus.
Contributions may address deterministic and stochastic models of neuronal activity, network and mean-field approaches, multiscale modeling, and data-informed or computational frameworks. Applications may include changes in synaptic function, network connectivity, and large-scale brain dynamics associated with cognitive decline and neurodegeneration.
The goal of the minisymposium is to bring together mathematicians and neuroscientists interested in fundamental questions of brain function, while illustrating how theoretical approaches can be applied to understand neurodegenerative processes. By emphasizing general principles of neural systems alongside disease-oriented applications, the session aims to foster interdisciplinary exchange and stimulate new modeling approaches relevant to both healthy and diseased brains.
