Coherence resonance in neural networks: Theory and experiments
The paper is devoted to the review of the coherence resonance phenomenon in excitable
neural networks. In particular, we explain how coherence can be measured and how noise …
neural networks. In particular, we explain how coherence can be measured and how noise …
Extreme events in dynamical systems and random walkers: A review
Extreme events gain the attention of researchers due to their utmost importance in various
contexts ranging from climate to brain. An observable that deviates significantly from its long …
contexts ranging from climate to brain. An observable that deviates significantly from its long …
[LIBRO][B] Wavelets in neuroscience
Alexander E. Hramov · Alexey A. Koronovskii · Valeri A. Makarov · Vladimir A. Maksimenko ·
Alexey N. Pavlov Page 1 Springer Series in Synergetics Alexander E. Hramov · Alexey A …
Alexey N. Pavlov Page 1 Springer Series in Synergetics Alexander E. Hramov · Alexey A …
[HTML][HTML] From novel technology to novel applications: Comment on “An integrated brain-machine interface platform with thousands of channels” by Elon Musk and …
The first attempts to translate neuronal activity into commands to control external devices
were made in monkeys yet in 1960s [1]. After that, during 1960-1970, the biological …
were made in monkeys yet in 1960s [1]. After that, during 1960-1970, the biological …
Extreme value theory inspires explainable machine learning approach for seizure detection
Epilepsy is one of the brightest manifestations of extreme behavior in living systems.
Extreme epileptic events are seizures, that arise suddenly and unpredictably. Usually …
Extreme epileptic events are seizures, that arise suddenly and unpredictably. Usually …
Two-stage approach with combination of outlier detection method and deep learning enhances automatic epileptic seizure detection
Many approaches to automated epileptic seizure detection share a common challenge—the
trade-off between recall and precision. This study aims to develop a novel approach for …
trade-off between recall and precision. This study aims to develop a novel approach for …
Extreme events in globally coupled chaotic maps
Understanding and predicting uncertain things are the central themes of scientific evolution.
Human beings revolve around these fears of uncertainties concerning various aspects like a …
Human beings revolve around these fears of uncertainties concerning various aspects like a …
Selection of features for patient-independent detection of seizure events using scalp EEG signals
Epilepsy involves brain abnormalities that may cause sudden seizures or other
uncontrollable body activities. Epilepsy may have substantial impacts on the patient's quality …
uncontrollable body activities. Epilepsy may have substantial impacts on the patient's quality …
Extreme synchronization events in a Kuramoto model: The interplay between resource constraints and explosive transitions
Many living and artificial systems possess structural and dynamical properties of complex
networks. One of the most exciting living networked systems is the brain, in which …
networks. One of the most exciting living networked systems is the brain, in which …
Noise amplification precedes extreme epileptic events on human EEG
Extreme events are rare and sudden abnormal deviations of the system's behavior from a
typical state. Statistical analysis reveals that if the time series contains extreme events, its …
typical state. Statistical analysis reveals that if the time series contains extreme events, its …