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Articles 1 - 3 of 3
Full-Text Articles in Physics
Automated, Efficient, And Accelerated Knowledge Modeling Of The Cognitive Neuroimaging Literature Using The Athena Toolkit, Michael C. Riedel, Taylor P. Salo, Jason Hays, Matthew D. Turner, Matthew T. Sutherland, Jessica A. Turner, Angela Laird
Automated, Efficient, And Accelerated Knowledge Modeling Of The Cognitive Neuroimaging Literature Using The Athena Toolkit, Michael C. Riedel, Taylor P. Salo, Jason Hays, Matthew D. Turner, Matthew T. Sutherland, Jessica A. Turner, Angela Laird
Department of Physics
Neuroimaging research is growing rapidly, providing expansive resources for synthesizing data. However, navigating these dense resources is complicated by the volume of research articles and variety of experimental designs implemented across studies. The advent of machine learning algorithms and text-mining techniques has advanced automated labeling of published articles in biomedical research to alleviate such obstacles. As of yet, a comprehensive examination of document features and classifier techniques for annotating neuroimaging articles has yet to be undertaken. Here, we evaluated which combination of corpus (abstract-only or full-article text), features (bag-of-words or Cognitive Atlas terms), and classifier (Bernoulli naïve Bayes, k-nearest …
Exploring The Neural Mechanisms Of Physics Learning, Jessica E. Bartley
Exploring The Neural Mechanisms Of Physics Learning, Jessica E. Bartley
FIU Electronic Theses and Dissertations
This dissertation presents a series of neuroimaging investigations and achievements that strive to deepen and broaden our understanding of human problem solving and physics learning. Neuroscience conceives of dynamic relationships between behavior, experience, and brain structure and function, but how neural changes enable human learning across classroom instruction remains an open question. At the same time, physics is a challenging area of study in which introductory students regularly struggle to achieve success across university instruction. Research and initiatives in neuroeducation promise a new understanding into the interactions between biology and education, including the neural mechanisms of learning and development. These …
Behavioral And Neural Mechanisms Of Social Heterogeneity In Attention Deficit/Hyperactivity Disorder, Kailey Macnamara
Behavioral And Neural Mechanisms Of Social Heterogeneity In Attention Deficit/Hyperactivity Disorder, Kailey Macnamara
FIU Electronic Theses and Dissertations
Attention-deficit/hyperactivity disorder (ADHD) is one of the most common child-onset neurodevelopment disorders, affecting 5% of children in the United States (American Psychiatric Association, 2013). Treatment matching in ADHD is difficult and unsatisfactory; the same general treatment algorithm is recommended for all children. It is therefore important to consider the development of specialized treatment programs based on a variety of behavioral and neurological biomarkers. Unfortunately, due to its multi-faceted classification, the heterogeneity of this behavioral disorder is under-investigated (Costa Dias et al., 2015). Scientific research in this area is especially limited as the severity of ADHD goes undiagnosed, children tend to …