Complex spatio-temporal features in meg data
Magnetoencephalography (MEG) brain signals are studied usinga method for characterizing complex nonlinear dynamics. This approach usesthe value of $d_\infty$ (d-infinite) to characterize the system’s asymptotic chaoticbehavior. A novel procedure has been developed to extract this parameterfrom time...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2006-07-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2006.3.697 |
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