Conference abstracts

Session A4 - Computational Geometry and Topology

July 12, 18:30 ~ 18:55 - Room B7

Topological analyses of olfaction and semantic learning

Chad Giusti

University of Pennsylvania, USA   -

I will briefly describe two very different applications of persistent homology in the analysis of neural systems: one to a model of olfactory sensing, and the other to development of semantic networks in children. The former is a work in progress involving some light geometry with points and planes, the latter an application of network filtration by nodes, and will involve the observation that there are two cycles in a network involving turtles and peas.

Joint work with Vladimir Itskov (Pennsylvania State University), Ann Sizemore (University of Pennsylvania), Elisabeth Karuza (University of Pennsylvania) and Danielle Bassett (University of Pennsylvania).

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FoCM 2017, based on a nodethirtythree design.