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Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
To this day, the origins and prognosis of Alzheimer's disease (AD) pose significant challenges. This thesis presents a methodology to understand AD by systematically applying state-of-the-art techniques from graph neural networks (GNNs)...
By removing as much as 90% or more of a deep neural network's (DNN's) parameters, a wide variety of pruning approaches not only allow for DNN compression but also increase generalization (model performance on test/unseen data). This...
An accumulation of experimental evidence over the past two decades has tightened the relationship between thermodynamics and the emergence of structure in driven natural systems. A plausible explanation for how structure emerges has...
We create a novel framework to enable the exploration of spatial calcium dynamics in astrocytes via compartmentalization of the cell domain. The cell is split up into spatially partitioned compartments representing sub-cellular domains...
Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
