Date of Award
Fall 12-2017
Document Type
Thesis
Degree Name
Master of Science (MS)
Department/Program
Digital Forensics and Cybersecurity
Language
English
First Advisor or Mentor
Aftab Ahmad
Second Reader
Danté A. Tawfeeq
Third Advisor
Douglas Salane
Abstract
In the area of computer science, past research has found that the concept of self-similarity is present in local and Internet-based network traffic. This study considers the possibility that data traveling through the neuronal network in the human brain is also self-similar. By analyzing publicly available raw EEG data and estimating its Hurst parameter, we find indications that brain data traffic may in fact be self-similar.
Recommended Citation
Holst, Jennifer, "Study of Self-Similarity in Brain Data" (2017). CUNY Academic Works.
https://academicworks.cuny.edu/jj_etds/49
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