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Description:: This dissertation is centered around the broad topic of physics-informed deep learning (DL). Specifically, it covers the following three fronts: Algorithms. Recent developments of DL, …
Year:: 2020
Contributor:: Lu, Lu (creator); Karniadakis, George (Advisor); Harrison, Matthew (Reader); Stinis, Panos (Reader); Brown University. Department of Applied Mathematics (sponsor)
Genre:: theses
Subject:: Differential equations, Partial; Deep Learning; computational physics
Collection:: Applied Mathematics; Theses and Dissertations

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Description:: In my dissertation, I present solutions, best practices, and lessons learned for tailoring implantable neural devices to a psychiatric population toward enabling neural biomarker identification …
Year:: 2021
Contributor:: Provenza, Nicole Renee (creator); Borton, David (Advisor); Harrison, Matthew (Reader); Frank, Michael (Reader); Hochberg, Leigh (Reader); Gunduz, Aysegul (Reader); Brown University. Biology and Medicine: Biomedical Engineering (sponsor)
Genre:: theses
Subject:: Neuromodulation; Computational neuroscience; Psychiatric Disorders
Collection:: Biology and Medicine; Biomedical Engineering; Theses and Dissertations

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Description:: It is argued that convolutional neural networks (CNNs) struggle to represent the relations among items in a visual scene efficiently. We claim this is a …
Year:: 2020
Contributor:: Ricci, Matthew (creator); Serre, Thomas (Advisor); Bienenstock, Elie (Reader); Frank, Michael (Reader); Harrison, Matthew (Reader); Brown University. Department of Cognitive, Linguistic, and Psychological Sciences (sponsor)
Genre:: theses
Subject:: dynamical systems; Cognitive science; Neural networks (Computer science); Computational neuroscience; Deep Learning; kuramoto model; Statistical physics
Collection:: Cognitive, Linguistic, and Psychological Sciences; Theses and Dissertations

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Description:: My research focuses on the study of traffic-flow models and their applications. Macroscopic and microscopic models are the two main approaches: macroscopic models describe the …
Year:: 2017
Contributor:: Xia, Chao (creator); Sandstede, Bjorn (Advisor); Dafermos, Constantine (Reader); Harrison, Matthew (Reader); Brown University. Department of Applied Mathematics (sponsor)
Genre:: theses
Subject:: data assimilation; Traffic accidents; traffic bottleneck; Traffic flow--Mathematical models
Collection:: Applied Mathematics; Theses and Dissertations

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Description:: Ecosystem structure is a fundamental property of terrestrial ecosystems. Understanding the variability in ecosystem structure is crucial for projecting the response of terrestrial ecosystems to …
Year:: 2024
Contributor:: Zhang, Dafeng (creator); Kellner, James (Advisor); Porder, Stephen (Reader); Ramachandran, Sohini (Reader); Harrison, Matthew (Reader); Mustard, John (Reader); Brown University. Biology and Medicine: Ecological and Evolutionary Biology (sponsor)
Genre:: theses
Subject:: Remote sensing; Environmental sciences
Collection:: Biology and Medicine; Ecological and Evolutionary Biology; Theses and Dissertations

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