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NeuroZone: A Graphical Toolbox for Principled Analysis of Neuroscientific fMRI Data
Author/Artist
Swanson, Stephen
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Format
Senior thesis
Language
English
Description
58 pages
Availability
Available Online
Full text:
DataSpace
Details
Advisor(s)
Hasson, Uri
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Department
Princeton University. Department of Computer Science
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Class year
2015
Summary note
As fMRI experimental design distances itself from simple, easily-interpretable tasks and analyses within single subjects, it becomes necessary to develop new algorithms for rigorous analysis of results.[19] While such algorithms do exist, many are prohibitively computationally expensive, difficult to understand on an intuitive level, or unclear about the assumptions required and guarantees provided. In this paper, we describe a series of algorithms that provide false positive-controlled, statistically significant analysis of fMRI data in a theoretically simple, computationally inexpensive manner. We also present a graphical user interface that ties these together in a user-friendly toolbox, in order to facilitate their easy, frequent, and proper use.
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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