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Volumn 386, Issue 1, 2007, Pages 101-118

The Tsallis entropy of natural information

(1)  Sneddon, Robert a  

a NONE

Author keywords

ADRD; Alzheimer's; EEG; Electroencephalography; Encoding; Entropy; Information; Memory; Non extensive; Tsallis

Indexed keywords

DATA ACQUISITION; DISEASES; ELECTROENCEPHALOGRAPHY; ENCODING (SYMBOLS); INFORMATION ANALYSIS; PROBABILITY; PROBLEM SOLVING;

EID: 35148872732     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2007.05.065     Document Type: Article
Times cited : (40)

References (32)
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    • Balkan, S.1
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    • (Times Cited: 10 Article English Cited References Count: 67 273ku Suppl. 3)
    • Almkvist O., and Winblad B. Eur. Arch. Psychiatry Clin. Neurosci. 249 (1999) 3 (Times Cited: 10 Article English Cited References Count: 67 273ku Suppl. 3)
    • (1999) Eur. Arch. Psychiatry Clin. Neurosci. , vol.249 , pp. 3
    • Almkvist, O.1    Winblad, B.2
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    • J. Gartner, Wired News, 2005, pp. 1-1. Dr. James Olds, director of the Krasnow Institute at George Mason University, is skeptical that technology based on EEG, a relatively dated technology, can accurately identify the onset of Alzheimer's. "I have serious doubts whether an ancient technology-even when used with advanced algorithms-will get us there," he said.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.