Search Results - "Nagornova, Zhanna V"

EEG "Signs" of Verbal Creative Task Fulfillment with and without Overcoming Self-Induced Stereotypes by Shemyakina, Natalia V, Nagornova, Zhanna V

“…The study aimed to reveal task-related differences in story creation with and without the mental effort of overcoming self-induced stereotypes. Eighteen…”
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Competition during verbal creative processes influences on ERS/ERD by Nagornova, Zhanna V, Shemyakina, Natalia V

“…Humans are social creatures, and many tasks in our daily lives are solved together. The two main forms of social interaction in problem solving could be…”
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Specificity of spontaneous EEG associated with different levels of cognitive and communicative dysfunctions in children by Kozhushko, Nadezhda Ju, Nagornova, Zhanna V., Evdokimov, Sergey A., Shemyakina, Natalia V., Ponomarev, Valery A., Tereshchenko, Ekaterina P., Kropotov, Jury D.

“…This study aimed to reveal electrophysiological markers of communicative and cognitive dysfunctions of different severity in children with autism spectrum…”
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Development of electroencephalographic pattern classifiers for real and imaginary thumb and index finger movements of one hand by Sonkin, Konstantin M, Stankevich, Lev A, Khomenko, Julia G, Nagornova, Zhanna V, Shemyakina, Natalia V

“…Highlights • Decoding accuracy of real and imaginary finger movements was explored by ANN and SVM. • Real and imaginary movement of thumb/index fingers of one…”
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Comparison of Different Machine Learning Approaches for Individual Subject Classification of Single-Trial Event Related Potentials During Perception of Correct and Incorrect Math Solutions by Nagornova, Zhanna V., Sivtseva, Alena S., Shemyakina, Natalia V.

“…The paper presents the comparisons (different time windows and methods) of event related potentials (ERP) classifications at perception of correct and…”
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Classification of Raw Single-Trial EEG/ERP Signals of a Combined Subjects' Data Sample in Response to the Presentation of Mathematical Sums, Correct and Incorrect Answers to them, Using CNNs by Petrov, Mikhail O., Nagornova, Zhanna V., Andreeva, Natalia V., Shemyakina, Natalia V.

“…The use of convolutional neural networks (CNNs) is one of the effective approaches for classification of electroencephalographic (EEG) data. In this paper we…”
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