… A network-based cognitive training induces cognitive … and induce changes in functional
connectivity in patients with … of brain resting state functional connectivity predict the persistence of …

… power and the functional connectivity in three 20-second task periods … functional connectivity
of brain networks and their dynamic interaction in temporal lobe epilepsy. Brain connectivity…

… Examples for methods with hyperparameters are the Autoregressive Integrated Moving
Average or any neural network-based forecasting method, which will be discussed in Section |…

… long-term memory also can be returned to working memory as … encoding, maintenance, and
retrieval: A network-based … training on resting-state functional connectivity of default mode, …

… Finally, we summarized and predicted the application … AD is a brain disorder that commonly
occurs in old age. We … neural network–based analysis methods are being commonly …

… This approach also uses the kNN classifier to predict the class of a query patent. Note
that our proposed patent network-based approach uses the relevance of nodes in the patent …

… As we know, in conventional CLA, the circuits to predict the carry signal are very complex …
in the network based on the second-order derivatives of the loss function considering the …

… The next step entails a comparison of prediction … performers in their field; if the predictive
performance of one … of a long-term memory component and a working memory component. …

… Moreover, no significant difference was … the working memory test (P > 0.05). Conclusion
Both multi-target tDCS and single-target tDCS can improve the performance of working memory-…

… and performance had been proposed yet, such that each individual's utility is optimized…
different neural network based routing algorithms are proposed to tackle this pricing/performance …