In summary, we aimed to illustrate the proposition that spurious nonstationarity manifesting itself as alternation of network states may appear due to ...
On the danger of detecting network states in white noise. Front Comput Neurosci. 2015 Feb 12:9:11. doi: 10.3389/fncom.2015.00011. eCollection 2015.
Aug 14, 2024 · ... Despite promising results, several studies pointed out the danger of detecting noise instead of real fluctuations. This caveat was found for ...
We document this danger by applying an example analysis pipeline used in [3] to simulated EEG datasets. The simulated data are generated as realizations of ...
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On the danger of detecting network states in white noise. J. Hlinka, Michal Hadrava. 2015, Frontiers in Computational Neuroscience. PDF · S2 logo Semantic ...
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Results revealed that EEG dynamics continuously underwent rapid transitions between intermittently stable states. Numerous approximate recurrences of states ...
We document this danger by applying an example analysis pipeline used in [3] to simulated EEG datasets. The simulated data are generated as realizations of ...
We find that neuronal activity propagation is limited to local regions when network is highly clustered with modular structures as in the normal brain networks.
Themes are the fundamental and often universal ideas explored in a literary work. The Fear of Death. The fear of death lies at the center of White Noise.