Event type: Seminar

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11
Oct

Anita Layton
(University of Waterloo)

His and Her Mathematical Models of Physiological Systems
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Imagine someone having a heart attack. Do you visualize the dramatic Hollywood portrayal of a heart attack, in which a man collapses, grabbing his chest in agony? Even though heart disease is the leading killer of women worldwide, the misconception that heart disease is a men’s disease has persisted. A dangerous misconceptions and risks women ignoring their own symptoms. Gender biases and false impressions are by no means limited to heart attack symptoms. Such prejudices exist throughout our healthcare system, from scientific research to disease diagnosis and treatment strategies. A goal of our research program is to address this gender equity, by identifying and disseminating insights into sex differences in health and disease, using computational modeling tools.
Oct 11, 2022 DRL 2C8 Seminar
Next Event
06
Sep

Marte Julie Sætra
(Simula Research Laboratory)

Computational modeling of ion concentration dynamics in brain tissue
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Over the past decades, computational neuroscientists have developed ever more sophisticated and morphologically complex neuron models. Most of these models assume that the intra- and extracellular ion concentrations remain constant over the simulated period and thus do not account for concentration-dependent effects on neuronal firing properties. Of the models that do incorporate ion concentration dynamics, few account for the electrodiffusive nature of intra- and extracellular ion transport. In this talk, I will present the first multicompartmental neuron model that accounts for ion concentration dynamics in a biophysically consistent manner [1]. I will also show how electrodiffusive modeling of neurons and glial cells can be used to explore the genesis of slow potentials in the brain [2].
Sep 6, 2022 DRL 2C8 Seminar
Next Event
29
Mar

Georgi Medvedev
(Drexel University)

Mar 29, 2022 Online & DRL Room A1 Seminar
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05
Apr

Andrew Mugler
(University of Pittsburgh)

Apr 5, 2022 Online & DRL Room A1 Seminar
Next Event
12
Apr

Isaac Klapper
(Temple University)

Apr 12, 2022 Online & DRL Room A1 Seminar
Next Event
19
Apr

Katie Storey
(Lafayette University)

Apr 19, 2022 DRL Room A1 Seminar
Next Event
26
Apr

Alexandre Morozov
(Rutgers University)

Apr 26, 2022 Online & DRL Room A1 Seminar
Next Event
22
Mar

Danielle Bassett
(University of Pennsylvania)

Mar 22, 2022 Online Seminar
Next Event
16
Feb

Bhargav Karamched
(Florida State University)

Mechanisms Underlying Spatiotemporal Patterning in Microbial Collectives
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We describe a spatial Moran model that captures mechanical interactions and directional growth in spatially extended populations. The model is analytically tractable and completely solvable under a mean-field approximation and can elucidate the mechanisms that drive the formation of population-level patterns. As an example, we model a population of E. coli growing in a rectangular microfluidic trap. We show that spatial patterns can arise because of a tug-of-war between boundary effects and growth rate modulations due to cell-cell interactions: Cells align parallel to the long side of the trap when boundary effects dominate. However, when cell​-cell interactions exceed a critical value, cells align orthogonally to the trap’s long side. This modeling approach and analysis can be extended to directionally growing cells in a variety of domains to provide insight into how local and global interactions shape collective behavior. As an example, we discuss how our model reveals how changes to a cell-shape describing parameter may manifest at the population level of the microbial collective. Specifically, we discuss mechanisms revealed by our model on how we may be able to control spatiotemporal patterning by modifying cell shape of a given strain in a multi-strain microbial consortium.
Feb 16, 2021 Online Seminar
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23
Feb

Nancy Rodriguez
(University of Colorado Boulder)

A story on relocation strategies, the Allee effect, and the Ideal Free Distribution
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It is well known that relocation strategies in ecology and in economics can make the difference between extinction and persistence. In this talk I present a unifying model for the dynamics of ecological populations and street vendors, an important part of many informal economies. I discuss the effects of chemotactic movement of populations subject to the Allee Effect by discussing the existence of equilibrium solutions subject to various boundary conditions and the evolution problem when the chemotaxis effect is small. On an interesting note, I present numerical simulations, which show that in fact chemotaxis can help overcome the Allee effect as well as some partial analytical results in this direction on a bounded domain. We can make this precise in unbounded domains. I will conclude by making a connection to the Ideal Free Distribution and other movement strategies under competition.
Feb 23, 2021 Online Seminar
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