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DTSTART;TZID=America/Los_Angeles:20191021T161500
DTEND;TZID=America/Los_Angeles:20191021T171500
DTSTAMP:20260428T191045
CREATED:20190705T211849Z
LAST-MODIFIED:20191018T203146Z
UID:1337-1571674500-1571678100@colleges.claremont.edu
SUMMARY:Applied Math Talk: Dynamics of neuroendocrine stress response given by Prof. Maria Rita D'Orsogna (CSUN)
DESCRIPTION:The hypothalamic-pituitary-adrenal (HPA) axis is a neuroendocrine system\nthat regulates numerous physiological processes. Disruptions are\ncorrelated with stress-related diseases such as PTSD and major depression. We characterize “normal” and “diseased” states of the HPA axis as basins of attraction of a dynamical system describing the main hormones regulated by the HPA axis. Our model includes hormonal self-upregulation\, release\, synthesis; interaction\,\ndelay and feedback mechanisms. External input is associated to psychological trauma\, while parameter changes represent physiological damage. We show that transitions between the  “normal” and “diseased” states may be induced solely by\nexternal input\, with all physiological parameters unchanged\, emphasizing\nthe severe consequences of psychological trauma. We also find that the\ntiming and duration of the traumatic event is an important determinant\nof if and how stress disorders will manifest. Finally\, we propose mechanisms whereby exposure therapy may act to normalize downstream dysregulation of the HPA axis.
URL:https://colleges.claremont.edu/ccms/event/applied-math-talk-given-by-prof-maria-rita-dorsogna-csun/
LOCATION:CGU Math North House
CATEGORIES:Applied Math Seminar
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DTSTART;TZID=America/Los_Angeles:20191023T161500
DTEND;TZID=America/Los_Angeles:20191023T171500
DTSTAMP:20260428T191045
CREATED:20190826T235239Z
LAST-MODIFIED:20191018T182721Z
UID:1396-1571847300-1571850900@colleges.claremont.edu
SUMMARY:Magnitude meets persistence. What happens after?
DESCRIPTION:The magnitude is an isometric invariant of metric spaces that\nwas introduced by Tom Leinster in 2010\, and is currently the object of\nintense research\, as it has been shown to encode many invariants of a\nmetric space such as volume\, dimension\, and capacity. When studying a\nmetric space in topological data analysis using persistent homology\, one\napproximates the space through a nested sequence of simplicial complexes\nso as to recover topological information about the space by studying the\nhomology of this sequence. In this talk I will give an introduction to\nmagnitude as well as persistent homology\, and explain how magnitude\nhomology is related to persistent homology.
URL:https://colleges.claremont.edu/ccms/event/tba-9/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
GEO:34.0999157;-117.7142668
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