Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8840336 | Journal of Neuroscience Methods | 2018 | 29 Pages |
Abstract
The random test not only determines randomness, but also serves as an indicator of smaller non-random patterns within a non-random FCM. Outcomes suggest that a lower order model may be sufficient as a broad description of the data, but it also indicates a loss of information. The developed randomness measure assesses a different aspect of randomness from that of graph theory.
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Authors
Victor M. Vergara, Qingbao Yu, Vince D. Calhoun,