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The dependable operation of brain-computer interfaces (BCI) based on electroencephalogram (EEG) signals requires precise classification of multi-channel EEG signals. The design of EEG interpretation and classifiers for BCI are open research questions whose difficulty stems from the need to extract complex spatial and temporal patterns from noisy multidimensional time series obtained from EEG measurements...
This paper studies quantitatively a high dimensional delayed neural network with small world connection. On the basis of Lyapunov stability approach, we investigate the asymptotic stability of the trivial equilibrium and obtain delay-dependent criteria ensuring global stability for the neural network. It shows that the small world connection decreases the global stability interval. Special attention...
In this work we use support vector machine to predict polyadenylation sites (Poly (A) sites) in human DNA and mRNA sequences by analyzing features around them. Two models are created. The first model identifies the possible location of the Poly (A) site effectively. The second model distinguishes between true and false Poly (A) sites, hence effectively detect the region where Poly (A) sites and transcription...
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