Computational Models in Electroencephalography

Electroencephalography

Recent advances in electroencephalography (EEG) research are presented. Particular emphasis is placed on sleep and epilepsy research in humans. In this context, among others, studies on the modifications of EEG epileptic activity during sleep are discussed in more detail. A large number of reports come from EEG monitoring during presurgical evaluation and surgical treatment of drug-resistant ep...

Electroencephalography.

Reducing Computational and Memory Cost of Substructuring Technique in Finite Element Models

Substructuring in the finite element method is a technique that reduces computational cost and memory usage for analysis of complex structures. The efficiency of this technique depends on the number of substructures in different problems. Some subdivisions increase computational cost, but require little memory usage and vice versa. In the present study, the cost functions of computations and me...

Computational Pattern Separation Models of Dentate Gyrus Neural Subpopulation in the Hippocampus

Hippocampus is a part of the brain that has an essential role in memory and learning. It is involved in many cognitive and behavioral phenomena, including the pattern separation process: the ability to distinguish patterns with very high similarity. The present study compared the models of pattern separation in the dentate gyrus of the hippocampus and aimed to investigate the significant cel...

COMPUTATIONAL LINGUISTICS Models, Resources, Applications COMPUTATIONAL LINGUISTICS Models, Resources, Applications

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