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Mathematical Biology - Lab CAMBAM

Centre de recherches mathématiques - CRM via YouTube

Overview

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Explore mathematical biology through this comprehensive collection of videoconferences and lectures covering diverse topics at the intersection of mathematics and biological systems. Delve into neural dynamics with slow-fast analysis of neural bursters and gamma-beta burst rhythms in neuronal networks, while examining multiple timescales in various biological systems. Investigate cellular processes including collective cell behavior, cell migration, volume control, and calcium signaling in live animals. Study cancer modeling through mathematical oncology approaches, computational methods, agent-based modeling software PhysiCell, and frameworks for understanding metastatic spread and immune-mediated theories. Examine population dynamics in moving environments, seasonal hybrid models for plant flowering onset, and mathematical modeling of immune cells. Learn about the translation of agent-based models to partial differential equations and explore applications in collective behavior with attractive-repulsive models. Additional topics include singularity formation in black hole interiors, global predictions of unreported SARS-CoV-2 infections from COVID-19 data, and restriction of eigenfunctions to sparse sets on manifolds, providing a broad foundation in mathematical approaches to biological phenomena.

Syllabus

Videoconference: Slow-fast analysis of neural bursters: old and new
Videoconference: Collective Cell Behavior and Cell Migration
Videoconference: Cell volume control and osmosis-driven cell movement
Videoconference: Zoomposium - Multiple Timescales in Neuronal and Other Systems
Gamma and Beta Burst Rhythms and E-I network inference (videoconference)
Videoconference: Modeling Calcium Signaling in Live Animals
Singularity formation in Black Hole interiors (videoconference)
Mathematical Modeling of the Immune-Mediated Theory of Metastasis
Global predictions of unreported SARS-CoV2 infection from observed COVID-19 cases
Attractive-repulsive models in collective behavior and applications
A seasonal hybrid model for the evolution of flowering onset in plants
Introduction lecture on mathematical oncology
Computational modelling methods in cancer
The open-source agent-based modelling software PhysiCell
The translation of ABMs to PDEs
A Mathematical Framework for Modelling the Metastatic Spread of Cancer
Population Dynamics in Moving Environments
Modeling the Innate Immune Cells
Restriction of eigenfunctions to sparse sets on manifolds

Taught by

Centre de recherches mathématiques - CRM

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