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SAMPLING DISTRIBUTIONS OF COMMON CONNECTIVITY MEASURES

Woodbury, George
http://rave.ohiolink.edu/etdc/view?acc_num=miami1506515749513936

Abstract Details

2017, Master of Arts, Miami University, Psychology.
A simulation study was conducted to study the relationship between several real-valued connectivity measures and theoretical black-box models from General Recognition Theory (Ashby & Townsend, 1986). Such an approach is argued to be useful for relating these measures to cognitive constructs from GRT such as perceptual integrality. The real-valued connectivity measures that were studied are Average Mutual Information, Cross Correlation, Phase Locking Value, and Magnitude Squared Coherence. Time series were generated using simulated models inspired by models found within GRT. The measures were repeatedly sampled from these time series in order to attain empirical sampling distributions. Insights about how these connectivity measures react to differing underlying cognitive architectures and sampling conditions are provided, and future directions to this line of research are outlined.
Robin Thomas (Advisor)
Joseph Houpt (Committee Member)
Joseph Johnson (Committee Member)
Psychology

Recommended Citations

Citations

  • Woodbury, G. (2017). SAMPLING DISTRIBUTIONS OF COMMON CONNECTIVITY MEASURES [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1506515749513936

    APA Style (7th edition)

  • Woodbury, George. SAMPLING DISTRIBUTIONS OF COMMON CONNECTIVITY MEASURES. 2017. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1506515749513936.

    MLA Style (8th edition)

  • Woodbury, George. "SAMPLING DISTRIBUTIONS OF COMMON CONNECTIVITY MEASURES." Master's thesis, Miami University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1506515749513936

    Chicago Manual of Style (17th edition)

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This open access ETD is published by Miami University and OhioLINK.