Daniel Leeds
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View article: Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting
Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting Open
BACKGROUND: Early medical attention after concussion may minimize symptom duration and burden; however, many concussions are undiagnosed or have a delay in diagnosis after injury. Many concussion symptoms (eg, headache, dizziness) are not …
View article: Inherent representations of contextual associations in neural networks and human behavior
Inherent representations of contextual associations in neural networks and human behavior Open
Contextual associations play an important role in human vision and understanding. For example, objects that are contextually congruent with the environment are recognized faster. Do these same contextual associations play a role in artific…
View article: Generalized Sequential Pattern Mining of Undergraduate Courses
Generalized Sequential Pattern Mining of Undergraduate Courses Open
University students have a great deal of freedom in deciding the order in which to take their courses. In this paper we apply the Apriori-based Generalized Sequential Pattern (GSP) algorithm to undergraduate course data from a large univer…
View article: Assessing Instructor Effectiveness Based on Future Student Performance
Assessing Instructor Effectiveness Based on Future Student Performance Open
Educational institutions rely on instructor assessment to determine course assignments, which instructors to retain or promote, and whom to provide with additional assistance or training. Instructor assessment is most commonly based on stu…
View article: The Impact of Semester Gaps on Student Grades
The Impact of Semester Gaps on Student Grades Open
College students have great flexibility in choosing when they take specific courses. These choices sometimes are constrained by prerequisite requirements, which determines the order in which pairs of courses may be taken. However, even in …
View article: Contextual associations represented both in neural networks and human behavior
Contextual associations represented both in neural networks and human behavior Open
Contextual associations facilitate object recognition in human vision. However, the role of context in artificial vision remains elusive as does the characteristics that humans use to define context. We investigated whether contextually re…
View article: Contextual associations represented both in neural networks and human behavior
Contextual associations represented both in neural networks and human behavior Open
Contextual associations facilitate object recognition in human vision. However, the role of context in artificial vision remains elusive as does the characteristics that humans use to define context. We investigated whether contextually re…
View article: Representing contextual associations in convolutional neural networks
Representing contextual associations in convolutional neural networks Open
Contextual associations play a significant role in facilitating object recognition in human vision. However, the role of contextual information in artificial vision remains elusive. We aim to examine whether contextual associations are rep…
View article: Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments: Extended Version
Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments: Extended Version Open
Understanding course enrollment patterns is valuable to predict upcoming demands for future courses, and to provide student with realistic courses to pursue given their current backgrounds. This study uses undergraduate student enrollment …
View article: Prolonged concussion effects: Constellations of cognitive deficits detected up to year after injury
Prolonged concussion effects: Constellations of cognitive deficits detected up to year after injury Open
Concussions are associated with an array of physical, emotional, cognitive, and sleep symptoms at multiple timescales. Cognitive recovery occurs relatively quickly – five-to-seven days on average. Yet, recent evidence suggests that some ne…
View article: Identifying local cognitive representations in the brain across age spans through voxel searchlights and representational similarity analysis
Identifying local cognitive representations in the brain across age spans through voxel searchlights and representational similarity analysis Open
Localizing function in the brain has been an elusive long-term goal in the study of cognition. Prior studies have utilized four reference abilities (RAs) to capture cognition (Salthouse, 2009). Full-brain cortical networks have been tied t…
View article: Modeling effects of blurred on vision on category learning
Modeling effects of blurred on vision on category learning Open
Human visual acuity sharpens during the first several months of life. Changing eye shape causes vision to develop from 20/800 to 20/20 over these months. Visual object learning develops in tandem with visual acuity. Children with congenita…
View article: Modeling voxel visual selectivities through convolutional neural network clustering
Modeling voxel visual selectivities through convolutional neural network clustering Open
Visual properties used in cortical perception are subject to ongoing study, and features of intermediate complexity are particularly elusive. Recent works have used layers of convolutional neural networks (CNNs) to predict cortical activit…
View article: Predictive Power of Head Impact Intensity Measures for Recognition Memory Performance
Predictive Power of Head Impact Intensity Measures for Recognition Memory Performance Open
Subconcussive head injuries are connected to both short-term cognitive changes and long-term neurodegeneration. Further study is required to understand what types of subconcussive impacts might prove detrimental to cognition. We studied ca…
View article: Computational Study of Changes to Cortical Vision with Age
Computational Study of Changes to Cortical Vision with Age Open
Computational models of cortical visual perception have become a major area of focus in recent years. Convolutional neural networks currently dominate the field, reporting significant abilities to account for cortical representations from …
View article: Searching for the Visual Components of Object Perception
Searching for the Visual Components of Object Perception Open
The nature of visual properties used for object perception in mid- and high-level vision areas of the brain is poorly understood. Past studies have employed simplistic stimuli probing models limited in descriptive power and mathematical un…
View article: Semantic object grouping in the visual cortex seen through MVPA
Semantic object grouping in the visual cortex seen through MVPA Open
Visual object perception recruits a network of cortical regions to extract diverse semantic properties from layers of visual information. Regions selective for a few selected object classes, such as faces, places, and hand-writing, have be…
View article: Mixing hierarchical edge detection and medial axis models of object perception
Mixing hierarchical edge detection and medial axis models of object perception Open
The nature of the visual representations underlying object perception in the brain is poorly understood. Past studies often have focused on the ability of one of two representational approaches to properly model biological object vision. H…