Semen A. Kurkin

According to our database, Semen A. Kurkin authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data.

Albert Nasybullin, Vladimir A. Maksimenko, Semen A. Kurkin

CoRR, April, 2026

2025

Brain Compensatory Mechanisms During the Prolonged Cognitive Task: fNIRS and Eye-Tracking Study.

Artem A. Badarin, Vladimir M. Antipov, Vadim V. Grubov, Andrey V. Andreev, Elena N. Pitsik, Semen A. Kurkin, Alexander E. Hramov

IEEE Trans. Cogn. Dev. Syst., April, 2025

2024

Beyond Pairwise Interactions: Higher-Order Q-Analysis of fMRI-Based Brain Functional Networks in Patients With Major Depressive Disorder.

Semen A. Kurkin, Nikita Smirnov, Rositsa Paunova, Sevdalina Kandilarova, Drozdstoy Stoyanov, Larisa Mayorova, Alexander E. Hramov

IEEE Access, 2024

Two-Stage Approach With Combination of Outlier Detection Method and Deep Learning Enhances Automatic Epileptic Seizure Detection.

Vadim V. Grubov, Sergei I. Nazarikov, Semen A. Kurkin, Nikita P. Utyashev, Denis A. Andrikov, Oleg E. Karpov, Alexander E. Hramov

IEEE Access, 2024

Open-Loop Neuroadaptive System for Enhancing Student's Cognitive Abilities in Learning.

Vadim V. Grubov, Marina V. Khramova, Sergey Goman, Artem A. Badarin, Semen A. Kurkin, Denis A. Andrikov, Elena N. Pitsik, Vladimir M. Antipov, Elena Petushok, Nikita Brusinskii, Tatyana Bukina, Alexander A. Fedorov, Alexander E. Hramov

IEEE Access, 2024

2023

Perceptual Integration Compensates for Attention Deficit in Elderly during Repetitive Auditory-Based Sensorimotor Task.

Nikita S. Frolov, Elena N. Pitsik, Vadim V. Grubov, Artem A. Badarin, Vladimir A. Maksimenko, Alexander Zakharov, Semen A. Kurkin, Alexander E. Hramov

Sensors, July, 2023

Psychophysiological Parameters Predict the Performance of Naive Subjects in Sport Shooting Training.

Artem A. Badarin, Vladimir M. Antipov, Vadim V. Grubov, Nikita A. Grigorev, Andrey O. Savosenkov, Anna Udoratina, Susanna Yu Gordleeva, Semen A. Kurkin, Victor B. Kazantsev, Alexander E. Hramov

Sensors, March, 2023

Preprocessed 32 channel EEG during motor imagery task and real/sham rTMS.

Susanna Yu Gordleeva, Semen A. Kurkin, Andrey O. Savosenkov, Nikita A. Grigorev, Nikita Smirnov, Vadim V. Grubov, Anna Udoratina, Vladimir A. Maksimenko, Victor B. Kazantsev, Alexander E. Hramov

Dataset, March, 2023

Transcranial Magnetic Stimulation of the Dorsolateral Prefrontal Cortex Increases Posterior Theta Rhythm and Reduces Latency of Motor Imagery.

Semen A. Kurkin, Susanna Yu Gordleeva, Andrey O. Savosenkov, Nikita A. Grigorev, Nikita Smirnov, Vadim V. Grubov, Anna Udoratina, Vladimir A. Maksimenko, Victor B. Kazantsev, Alexander E. Hramov

Sensors, 2023

2021

Monitoring the Cortical Activity of Children and Adults during Cognitive Task Completion.

Marina V. Khramova, Alexander Kuc, Vladimir A. Maksimenko, Nikita S. Frolov, Vadim V. Grubov, Semen A. Kurkin, Alexander N. Pisarchik, Natalia Shusharina, Alexander A. Fedorov, Alexander E. Hramov

Sensors, 2021

2019

The Approach to the Detection of the Movement Precursor by Electromyographic Signals.

Semen A. Kurkin, Vladimir S. Khorev, Elena N. Pitsik, Vladimir A. Maksimenko, Alexander E. Hramov

Proceedings of the 16th International Conference on Informatics in Control, 2019

A MEG Study of Different Motor Imagery Modes in Untrained Subjects for BCI Applications.

Alexander E. Hramov, Elena N. Pitsik, Parth Chholak, Vladimir A. Maksimenko, Nikita S. Frolov, Semen A. Kurkin, Alexander N. Pisarchik

Proceedings of the 16th International Conference on Informatics in Control, 2019

2018

Artificial Neural Network Classification of Motor-Related EEG: An Increase in Classification Accuracy by Reducing Signal Complexity.

Vladimir A. Maksimenko, Semen A. Kurkin, Elena N. Pitsik, Vyacheslav Yu. Musatov, Anastasia E. Runnova, Tatyana Yu. Efremova, Alexander E. Hramov, Alexander N. Pisarchik

Complex., 2018

Artificial Neural Networks as a Tool for Recognition of Movements by Electroencephalograms.

Semen A. Kurkin, Elena N. Pitsik, Vyacheslav Yu. Musatov, Anastasia E. Runnova, Alexander E. Hramov

Proceedings of the 15th International Conference on Informatics in Control, 2018