Alexander Kuc
Saratov State Technical University
22 Papers
32 Citations
Alexander Kuc is an academic researcher from Saratov State Technical University. The author has contributed to research in topics: Perception & Sensory system. The author has an hindex of 2, co-authored 10 publications.
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Papers
Dissociating Cognitive Processes During Ambiguous Information Processing in Perceptual Decision-Making.
Vladimir Maksimenko,Alexander Kuc,Nikita S. Frolov,Marina V. Khramova,Alexander N. Pisarchik,Alexander E. Hramov +5 more
TL;DR: The brain activity of subjects accomplishing a perceptual decision-making task involving the classification of ambiguous stimuli was analyzed and it was demonstrated that ambiguity induced high frontal θ-band power for 0.15 s post-stimulus onset, indicating increased reliance on top-down processes, such as expectations and memory.
Effect of repetition on the behavioral and neuronal responses to ambiguous Necker cube images.
TL;DR: In this paper, a repeated presentation of an item facilitates its subsequent detection or identification, a phenomenon of priming may involve different types of memory and attention and affects neural activity in various brain regions.
Abnormal spectral and scale-free properties of resting-state EEG in girls with Rett syndrome
Olga V. Sysoeva,V. B. Maximenko,Alexander Kuc,Victoria Y. Voinova,Olga Martynova,Alexander E. Hramov +5 more
TL;DR: This study examines resting-state EEG in girls with Rett syndrome, revealing abnormal spectral and scale-free properties, including increased theta and gamma power, and long-range temporal correlation, which differentiate RTT from typically developing peers with high accuracy.
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Predicting Perceptual Decision-Making Errors Using EEG and Machine Learning
Alisa Batmanova,Alexander Kuc,Vladimir A. Maksimenko,Andrey Savosenkov,Nikita Grigorev,Susanna Gordleeva,V. Kazantsev,S. Korchagin,Alexander E. Hramov +8 more
TL;DR: An artificial neural network was trained to distinguish between correct and erroneous responses in the perceptual decision-making task using 32 EEG channels and introduced three types of convolution, including 1D convolutions along the x- and y-axes and a 2D convolution along both axes.
Sensor-Level Wavelet Analysis Reveals EEG Biomarkers of Perceptual Decision-Making.
Alexander Kuc,Vadim V. Grubov,Vladimir A. Maksimenko,Natalia Shusharina,Alexander N. Pisarchik,Alexander E. Hramov +5 more
TL;DR: In this article, the authors used a wavelet-based method to analyze how ambiguity affects EEG features during a perceptual decision-making task and observed that parietal and temporal beta-band wavelet power monotonically increases throughout the perceptual process.
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