Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

Extreme value theory inspires explainable machine learning approach for seizure detection

OE Karpov, VV Grubov, VA Maksimenko, SA Kurkin… - Scientific Reports, 2022 - nature.com
Epilepsy is one of the brightest manifestations of extreme behavior in living systems.
Extreme epileptic events are seizures, that arise suddenly and unpredictably. Usually …

Self-organized bistability on globally coupled higher-order networks

MS Anwar, N Frolov, AE Hramov, D Ghosh - Physical Review E, 2024 - APS
Self-organized bistability (SOB) stands as a critical behavior for the systems delicately
adjusting themselves to the brink of bistability, characterized by a first-order transition. Its …

Theoretical background and experimental measurements of human brain noise intensity in perception of ambiguous images

AE Runnova, AE Hramov, VV Grubov… - Chaos, Solitons & …, 2016 - Elsevier
We propose a theoretical approach associated with an experimental technique to
quantitatively characterize cognitive brain activity in the perception of ambiguous images …

Intermittency properties in a temporal lobe epilepsy model

FS Borges, EC Gabrick, PR Protachevicz, GSV Higa… - Epilepsy & Behavior, 2023 - Elsevier
Neuronal synchronization is important for communication between brain regions and plays a
key role in learning. However, changes in connectivity can lead to hyper-synchronized …

Extreme events in epileptic EEG of rodents after ischemic stroke

AN Pisarchik, VV Grubov, VA Maksimenko… - The European Physical …, 2018 - Springer
Extreme events are observed on electroencephalographic (EEG) recordings of rodents with
induced ischemic stroke. These events represent themselves as post-stroke epileptic …

The continuum between temperament and mental illness as dynamical phases and transitions

W Sulis - Frontiers in Psychiatry, 2021 - frontiersin.org
The full range of biopsychosocial complexity is mind-boggling, spanning a vast range of
spatiotemporal scales with complicated vertical, horizontal, and diagonal feedback …

Revealing the coupling directionality and synchronization between time series from physiological data by analysis of joint recurrences

OE Dick, AL Glazov - Chaos, Solitons & Fractals, 2023 - Elsevier
We applied methods for determining the recurrence based phase synchronization index and
the coupling directionality based on conditional probabilities of recurrence to analyze the …

Wavelet analysis of intermittent dynamics in nocturnal electrocardiography and electroencephalography data

M Zhuravlev, E Egorov, O Moskalenko… - … Journal of Nonlinear …, 2024 - pubs.aip.org
This paper presents the results of a study of the characteristics of phase synchronization
between electrocardiography (ECG) and electroencephalography (EEG) signals during …

Motor imagery recognition in electroencephalograms using convolutional neural networks

AD Bragin, VG Spitsyn - Computer Optics, 2020 - ui.adsabs.harvard.edu
Electroencephalography is a widespread method to record brain signals with the use of
electrodes located on the surface of the head. This method of recording the brain activity has …