Coherence resonance in neural networks: Theory and experiments
AN Pisarchik, AE Hramov - Physics Reports, 2023 - Elsevier
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 …
[图书][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 …
Nonlinear effect of biological feedback on brain attentional state
A nonlinear effect of biological feedback on visual perception is studied when a brain–
computer interface is applied. The implemented algorithm for estimation of visual attention is …
computer interface is applied. The implemented algorithm for estimation of visual attention is …
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 …
Business cycle modeling between financial crises and black swans: Ornstein–Uhlenbeck stochastic process vs Kaldor deterministic chaotic model
G Orlando, G Zimatore - Chaos: An Interdisciplinary Journal of …, 2020 - pubs.aip.org
Business cycles are oscillations in the economy because of recessions and expansions. In
this paper we investigate the oscillation of the gross domestic product as a result of its …
this paper we investigate the oscillation of the gross domestic product as a result of its …
Intermittent large deviation of chaotic trajectory in Ikeda map: Signature of extreme events
We notice signatures of extreme eventslike behavior in a laser based Ikeda map. The
trajectory of the system occasionally travels a large distance away from the bounded chaotic …
trajectory of the system occasionally travels a large distance away from the bounded chaotic …
[HTML][HTML] Memristive neural networks for predicting seizure activity
The aim of the study is to assess the possibilities of predicting epileptiform activity using the
neuronal activity data recorded from the hippocampus and medial entorhinal cortex of mice …
neuronal activity data recorded from the hippocampus and medial entorhinal cortex of mice …