COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > The stochastic mechanical brain
The stochastic mechanical brainAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact nobody. USMW02 - Mathematical mechanical biology: old school and new school, methods and applications Fuelled in particular by current medical challenges in Traumatic Brain Injury, the field of brain mechanics has progressed tremendously in the last decade. Simulations that required months in development and runtime can now be created from patient specific medical images, meshed and run in a fraction of that time. However, and maybe paradoxically, the high fidelity of these new models has exacerbated a problem that the rough early finite element models were naturally avoiding by design, i.e., the stochasticity of the brain. In this presentation, we propose a series of new numerical methods built on the finite element method accounting for both the intrinsic stochasticity (i.e., variations of the properties within the brain) and extrinsic stochasticity (i.e., variations between individuals). Relevant applications are given throughout as illustrations. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsCambridge University Students Against Pseudoscience PLACEB-O 'In Conversation' Seminar Series Clinical Science SeminarsOther talksK2P channels in sensory transduction and neuromodulation Wiener-Hopf factorisation, Toeplitz operators and the ergosphere of a rotating black hole Dunes under different conditions: fluid flow variation, topographies, and static objects A Tale of Two Crises: COVID-19 and Machine Learning Reproducibility Contributed talk: Stability estimates for the optimal experimental design in Bayesian inverse problems |