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Titlebook: Quantitative Neuroscience; Models, Algorithms, P. M. Pardalos,J. C. Sackellares,L. D. Iasemidis Book 2004 Springer Science+Business Media

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John G. Milton,Jennifer Foss,John D. Hunter,Juan Luis Cabreras having various stronger or weaker properties. These equations can represent mathematical modelsto various real-world physical processes. Inverse problems and optimal control problems are also considered, as this technique is useful in their treatment as well..
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Roger L. Reep,J. L. Cheatwood,J. V. Corwine TS Fuzzy models, it is necessary to select both the proper control design method and the TS Fuzzy model alternative for the given dynamic model at hand. Additionally, the Linear Matrix Inequality-based observer design also depends on the vertices of the TS Fuzzy model, and this dependence differs
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Mark C. K. Yang,D.-S. Shiau,J. C. Sackellarese TS Fuzzy models, it is necessary to select both the proper control design method and the TS Fuzzy model alternative for the given dynamic model at hand. Additionally, the Linear Matrix Inequality-based observer design also depends on the vertices of the TS Fuzzy model, and this dependence differs
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Spatiotemporal Transitions in Temporal Lobe Epilepsy, dynamically isolating the seizure onset zone..Through the analysis of long-term intracranial EEG recordings obtained in patients with medically intractable seizures, we observed: (1) drop in values of a dynamical measure (. .) during the seizure, indicating increased temporal order of the EEG signa
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