Study materials, data, and analysis scripts for Trujillo, L.T. (2019), Entropy. K-th nearest neighbor (KNN) entropy estimates of complexity and integration from ongoing and stimulus-evoked electroencephalographic (EEG) recordings of the human brain. Entropy, 21, 61. doi:10.3390/e21010061
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Jan 12, 2019
Trujillo, Logan, 2019, "Simulated Empirical EEG Data", https://doi.org/10.18738/T8/AJU72W, Texas Data Repository, V1
This is the dimension-reduced simulated empirical EEG data for the study. Data is in MATLAB .mat format.
Unknown - 13.1 MB - MD5: eb2d8959a66257a08656db68b08111e1
Unknown - 13.1 MB - MD5: a174c18a83770d078847bb215a0b5aa7
Unknown - 13.1 MB - MD5: 652f18ffacf8ab83cd74a9d1fc985f86
Unknown - 13.1 MB - MD5: 6ad106c9e626d29dee45dd69e1f66f8b
Unknown - 13.1 MB - MD5: afbae424b3eb8e8bcc7397ea40b81c1d
Unknown - 13.1 MB - MD5: 29bfb50831a4dffe05b42a008c49af2d
Unknown - 13.1 MB - MD5: 007995d8f723242aebcff7fac1f2d2e5
Unknown - 13.1 MB - MD5: 6175a5d38ad0735729715123830e9153
Unknown - 13.1 MB - MD5: bc00dd8576442ec130d6b63a4fc0f909
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