The retina detects light, processes the visual signal, and sends a complex set of parallel information channels to the brain via a functionally diverse set of retinal ganglion cells types. This manuscript examines these retinal ganglion cell types, the visual features they encode, and the computational mechanisms leading to their...
Human olfactory function is important for a myriad of behaviors, including food seeking, social cognition, memory, emotional regulation, and detecting environmental threats. In animal models, particularly dense olfactory inputs have been shown to target orbitofrontal cortex (OFC), a region involved in multimodal sensory integration, reward coding, and flexibly guiding our...
We establish the criterion for chaos in three-planet systems, for systems similar to those discovered by the Kepler spacecraft. Our main results are as follows: (i) The simplest criterion, which is based on overlapping mean motion resonances (MMRs), only agrees with numerical simulations at a very crude level. (ii) Much...
Very few studies have examined school racial climate in racially diverse school contexts. School racial climate refers to “perceptions of interracial interactions and the socialization around race and culture in a school” (Byrd, 2017, p. 700). The association between interracial peer interactions, psychological well-being, and academic outcomes is well documented,...
We consider data-driven approaches for universal texture modeling via generative adversarial networks and inversion methods. We investigate the properties of the learned representation spaces and demonstrate that a strong link between texture analysis and synthesis is the key to successful texture modeling. First, we visit the problem of texture synthesis...
Findings in both humans and animal models have associated the hippocampal theta oscillation with hippocampal memory function. In animal models, previous research supports that the theta oscillation contributes to memory via phase-dependent changes in hippocampal network connectivity, wherein memory encoding versus retrieval are optimized at different phases of the theta...
Atomistic methods offer a powerful set of tools in the study of materials systems, as they allow materials scientists to ask questions with a high degree of specificity. They are well suited for studying and designing energy materials, critical due to the climate crisis, in part due to their ability...
Amyloid beta oligomers (AβOs) are a key instigator of neurodegeneration in Alzheimer’s disease (AD). The work presented in this thesis includes three disease-modifying approaches to disrupt pathological AβO-related mechanisms in AD: (1) inhibiting AβO buildup, (2) blocking AβO-induced tau phosphorylation, and (3) neutralizing AβOs. These three approaches were tested in...
This dissertation is a review of three projects I worked on during my time in the Computational Photography Lab at Northwestern University. First, a source separation problem for the X-Ray Fluorescence images of painted works of art is addressed through the incorporation of Hyperspectral Reflectance data. Following this, a discussion...
Deduplication, also referred to as "entity resolution", is a common and crucial pre-processing step in the construction of social networks. Traditional deduplication methods compare the attributes (such as name and age) of potential matching pairs to estimate a match probability for a pair. Recently research has used clustering techniques for...