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Multi-task learning for neural image classification and segmentation using a 3D/2D contextual U-Net model
(Georgia Institute of Technology, 2020-05)
We present a 3D/2D Contextual U-Net model and apply it to segment and classify samples from a heterogeneous mouse brain dataset obtained via X-ray microtomography, which spans 4 distinct brain areas: Striatum, Ventral ...
The Impact of Sleep on Quasi-Periodic Patterns During Working Memory Tasks
(Georgia Institute of Technology, 2022-05)
Quasi-periodic patterns (QPPs) are a form of low-frequency neural activity that include the interactions of both default mode and task positive networks. As this brain activity occurs constantly in our brains, they are ...