Neurostatistical Mapping: A Review and Unique Application Proposal, Exploration

Honors College Thesis

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/honors_college_theses/8p58pn04r

Descriptions

Attribute Name	Values
Creator	Haffner, Michael L.
Abstract	Advancements in neurological data capturing and mapping have provided scientists with exponentially more information, allowing for more detailed analysis of neurological behaviors and their translations to cognitive, emotional, and physical function. Inspired by the diffculty in diagnosing brain damage, this project seeks to leverage statistical modeling with EEG data to explore a unique approach to modeling and representing neurological activity. The application of the Cox Point Process, a variation of the more commonly know Poisson Point Process, yielded simulation results that allow us to generate heat maps representing neural activity - suggesting that this application of statistical point processes potentially have promise in analyzing neurological data.
License	Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)
Resource Type	Honors College Thesis
Date Issued	2021-05-26
Degree Level	Bachelor's
Degree Name	Honors Bachelor of Science (H.B.S.)
Degree Field	Industrial Engineering
Degree Grantor	Oregon State University
Commencement Year	2021
Advisor	Molyneux, James
Committee Member	Bhattacharyya, Sharmodeep Emerson, Sarah Fuentes, Claudio
Non-Academic Affiliation	Oregon State University. Honors College
Rights Statement	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]

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