EEG Complexity Analysis of ADS Risk
2019 doctoral thesis by Stephen Wolfson at University of Auckland
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EEG Complexity Analysis of ADS Risk
Summary
EEG Complexity Analysis of ADS Risk is a doctoral thesis[1].
Key Facts
- EEG Complexity Analysis of ADS Risk authored Stephen Wolfson[2].
- EEG Complexity Analysis of ADS Risk's instance of is recorded as doctoral thesis[3].
- EEG Complexity Analysis of ADS Risk's publisher is recorded as ResearchSpace@Auckland[4].
- EEG Complexity Analysis of ADS Risk's copyright license is recorded as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand[5].
- EEG Complexity Analysis of ADS Risk's country of origin is recorded as New Zealand[6].
- EEG Complexity Analysis of ADS Risk's publication date is recorded as +2019-00-00T00:00:00Z[7].
- EEG Complexity Analysis of ADS Risk's main subject is recorded as psychology[8].
- EEG Complexity Analysis of ADS Risk's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/52933[9].
- EEG Complexity Analysis of ADS Risk's Handle ID is recorded as 2292/52933[10].
- EEG Complexity Analysis of ADS Risk's title is recorded as EEG Complexity Analysis of ADS Risk[11].
- EEG Complexity Analysis of ADS Risk's copyright holder is recorded as Stephen Wolfson[12].
- EEG Complexity Analysis of ADS Risk's thesis submitted to is recorded as University of Auckland[13].
- EEG Complexity Analysis of ADS Risk's on focus list of Wikimedia project is recorded as NZThesisProject[14].
- EEG Complexity Analysis of ADS Risk's copyright status is recorded as copyrighted[15].
- EEG Complexity Analysis of ADS Risk's online access status is recorded as open access[16].
- EEG Complexity Analysis of ADS Risk's thesis committee member is recorded as Ian Kirk[17].
Body
Designation and Status
EEG Complexity Analysis of ADS Risk's instance of is recorded as doctoral thesis[3].