A. Hramov

发表

Features of the resting-state functional brain network of children with autism spectrum disorder: EEG source-level analysis

Nikita M. Smirnov, G. Portnova, O. Martynova, 2022, The European Physical Journal Special Topics.

Nonlinear analysis of brain activity, associated with motor action and motor imaginary in untrained subjects

A. Pisarchik, A. Pavlov, V. Maksimenko, 2018, Nonlinear Dynamics.

Resting-State Functional Connectivity Impairment in Patients with Major Depressive Episode

A. Badarin, Sevdalina Kandilarova, V. Khorev, 2022, International journal of environmental research and public health.

Analysis of eye-tracking data during the Sternberg working memory task in subjects with asthenic syndrome

V. Grubov, A. Badarin, N. Shusharina, 2022, 2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).

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

Nikita A. Grigorev, Nikita M. Smirnov, V. Maksimenko, 2023, Sensors.

A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery

A. Kaplan, V. Kazantsev, N. Shusharina, 2021, bioRxiv.

Loss of neuron network coherence induced by virus-infected astrocytes: a model study

V. Kazantsev, S. Stasenko, A. Hramov, 2022, Scientific reports.

The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder

V. Maximenko, E. Pitsik, Sevdalina Kandilarova, 2023, Chaos, Solitons & Fractals.

Analysis of Publication Activity and Research Trends in the Field of AI Medical Applications: Network Approach

V. Maksimenko, S. Kurkin, E. Pitsik, 2023, International journal of environmental research and public health.

Toward interpretability of machine learning methods for the classification of patients with major depressive disorder based on functional network measures.

A. Badarin, D. Stoyanov, A. Hramov, 2023, Chaos.

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

V. Grubov, A. Badarin, A. Savosenkov, 2023, Sensors.

Eye movement features in solving Sternberg Memory Task

A. Badarin, Alexander Hramov, Nikita Brusinskii, 2022, 2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).

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

V. Maksimenko, N. Frolov, E. Pitsik, 2023, Sensors.

Abnormal spectral and scale-free properties of resting-state EEG in girls with Rett syndrome

O. Martynova, O. Sysoeva, V. Voinova, 2023, Scientific reports.

Functional Near-Infrared Spectroscopy for the Classification of Motor-Related Brain Activity on the Sensor-Level

Vadim Grubov, Artem Badarin, Vladimir A Maksimenko, 2020, Sensors.

Evaluation of Unsupervised Anomaly Detection Techniques in Labelling Epileptic Seizures on Human EEG

V. Maksimenko, V. Grubov, N. Utyashev, 2023, Applied Sciences.

Prevalence of neuromyths among students and pre-service teachers

M. Khramova, S. Kurkin, A. Hramov, 2023, Humanities and Social Sciences Communications.

Studying perceptual bias in favor of the from-above Necker cube perspective in a goal-directed behavior

Nikita A. Grigorev, Alexander Kuc, V. Grubov, 2023, Frontiers in psychology.

Convolutional Neural Network Outperforms Graph Neural Network on the Spatially Variant Graph Data

V. Maksimenko, A. Hramov, Anna Boronina, 2023, Mathematics.