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Seeing Eye To Eye: A Machine Learning Approach To Automated Saccade Analysis, Maigh Attre May 2019

Seeing Eye To Eye: A Machine Learning Approach To Automated Saccade Analysis, Maigh Attre

Honors Scholar Theses

Abnormal ocular motility is a common manifestation of many underlying pathologies particularly those that are neurological. Dynamics of saccades, when the eye rapidly changes its point of fixation, have been characterized for many neurological disorders including concussions, traumatic brain injuries (TBI), and Parkinson’s disease. However, widespread saccade analysis for diagnostic and research purposes requires the recognition of certain eye movement parameters. Key information such as velocity and duration must be determined from data based on a wide set of patients’ characteristics that may range in eye shapes and iris, hair and skin pigmentation [36]. Previous work on saccade analysis has …


Just Beautiful Portrays Of The Mind? The Relevance Of Aesthetic Strategies On Knowledge Creation In Neuroscience, Valerie Kummer Mar 2013

Just Beautiful Portrays Of The Mind? The Relevance Of Aesthetic Strategies On Knowledge Creation In Neuroscience, Valerie Kummer

The STEAM Journal

We live in the age of big data. All types of data are being generated at an increasing rate but theories about the strategies and methods to visualize them is lagging. One of the main challenges we face today in research is to keep up with the massive amounts of data we produce (Allen, Elena A. et.al, 2012). Especially in the field of neuroscience and its use of imaging technologies, the vast array of data has risen to such a high number that it is impossible to grasp the inherent information without additional software tools and intelligent interfaces. Only through …