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Critical slowing down of the dynamics of a system near bifurcation points leads to long recovery times towards stable states in response to perturbations. Analogously, for systems initially in an unstable state, the relaxation also becomes slow near bifurcation points. Here we explore the onset of self-sustained oscillations in a sideband-driven electromechanical resonator, when the zero-amplitude state changes from stable to unstable. As the system moves away from the unstable zero-amplitude state due to thermal fluctuations, the vibration amplitude increases exponentially with time until nonlinear effects limit the growth and the system settles into stable self-sustained vibrations. We show that the first passage time for the amplitude to reach a threshold value is random and follows a non-Gaussian distribution. On the other hand, the rate of exponential buildup remains constant for different build-up events. As the system approaches a bifurcation point, the build-up of vibrations slows down drastically. The mean and the standard deviation of the first passage time as well as the inverse rate of exponential rise exhibit power law scaling with the distance to either the supercritical or subcritical Hopf bifurcation point with exponent of - 1.
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http://dx.doi.org/10.1038/s41598-025-98844-w | DOI Listing |
Sci Rep
May 2025
Department of Physics, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China.
Critical slowing down of the dynamics of a system near bifurcation points leads to long recovery times towards stable states in response to perturbations. Analogously, for systems initially in an unstable state, the relaxation also becomes slow near bifurcation points. Here we explore the onset of self-sustained oscillations in a sideband-driven electromechanical resonator, when the zero-amplitude state changes from stable to unstable.
View Article and Find Full Text PDFNaunyn Schmiedebergs Arch Pharmacol
September 2024
Department of Biology, College of Philosophy, Sciences, and Literature (FFCLRP), University of São Paulo, Av. Bandeirantes 3900, Zip code: 14040-901, Ribeirão Preto, São Paulo, Brazil.
Epilepsy is a condition marked by sudden, self-sustained, and recurring brain events, showcasing unique electro-clinical and neuropathological phenomena that can alter the structure and functioning of the brain, resulting in diverse manifestations. Antiepileptic drugs (AEDs) can be very effective in 30% of patients in controlling seizures. Several factors contribute to this: drug resistance, individual variability, side effects, complexity of epilepsy, incomplete understanding, comorbidities, drug interactions, and no adherence to treatment.
View Article and Find Full Text PDFJ Physiol
May 2024
Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Motoneuron properties and their firing patterns undergo significant changes throughout development and in response to neuromodulators such as serotonin. Here, we examined the age-related development of self-sustained firing and general excitability of tibialis anterior motoneurons in a young development (7-17 years), young adult (18-28 years) and adult (32-53 years) group, as well as in a separate group of participants taking selective serotonin reuptake inhibitors (SSRIs, aged 11-28 years). Self-sustained firing, as measured by ΔF, was larger in the young development (∼5.
View Article and Find Full Text PDFMethods Mol Biol
March 2024
Department of Pharmacy, School of Chemical Sciences and Pharmacy, Central University of Rajasthan, Bandarsindri, Ajmer, Rajasthan, India.
Multiple sclerosis (MS) is a neurodegenerative autoimmune disorder of the central nervous system (CNS) infecting 2.5 million people worldwide. It is the most common nontraumatic neurological impairment in young adults.
View Article and Find Full Text PDFElife
February 2024
University of Bordeaux, CNRS, IMN, Bordeaux, France.
Neurostimulation of the hippocampal formation has shown promising results for modulating memory but the underlying mechanisms remain unclear. In particular, the effects on hippocampal theta-nested gamma oscillations and theta phase reset, which are both crucial for memory processes, are unknown. Moreover, these effects cannot be investigated using current computational models, which consider theta oscillations with a fixed amplitude and phase velocity.
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