We study the diffusive coupling of oscillating or excitable Belousov-Zhabotinsky reaction units arranged in a square lattice array and show that for certain sizes of the units and for certain distances between the units, complex oscillation modes of individual spots occur, which manifest themselves in multi-periodic, amplitude-modulated, and multi-mode oscillations. This experimental finding can be reproduced in simulations of the FitzHugh-Nagumo model mimicking the experimental setup, suggesting that it is a generic phenomenon in systems of coupled excitable units such as excitable cell tissues or coupled oscillators such as neurons. Further analysis let us conclude that the complex oscillation modes occur close to the transition from quiescent to coupling-induced oscillations states if this transition is taking place at weak coupling strength.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1103/PhysRevE.99.022202 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Circadian clockwork controls the balance between mitochondrial turnover and dynamics: What is life … without time marking?
Biochim Biophys Acta Bioenerg
January 2025
Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy. Electronic address:
Circadian rhythms driven by biological clocks regulate physiological processes in all living organisms by anticipating daily geophysical changes, thus enhancing environmental adaptation. Time-resolved serial multi-omic analyses in vivo, ex vivo, and in synchronized cell cultures have revealed rhythmic changes in the transcriptome, proteome, and metabolome, involving up to 50 % of the mammalian genome. Mitochondrial oxidative metabolism is central to cellular bioenergetics, and many nuclear genes encoding mitochondrial proteins exhibit both circadian and ultradian oscillatory expression.
View Article and Find Full Text PDFUnderstanding how the collective activity of neural populations relates to computation and ultimately behavior is a key goal in neuroscience. To this end, statistical methods which describe high-dimensional neural time series in terms of low-dimensional latent dynamics have played a fundamental role in characterizing neural systems. Yet, what constitutes a successful method involves two opposing criteria: (1) methods should be expressive enough to capture complex nonlinear dynamics, and (2) they should maintain a notion of interpretability often only warranted by simpler linear models.
View Article and Find Full Text PDFRobust undulatory locomotion through neuromechanical adjustments in a dissipative medium.
J R Soc Interface
January 2025
Nantes Université, École Centrale Nantes, IMT Atlantique, CNRS, LS2N, UMR 6004, Nantes F-44000, France.
Dissipative environments are ubiquitous in nature, from microscopic swimmers in low-Reynolds-number fluids to macroscopic animals in frictional media. In this study, we consider a mathematical model of a slender elastic locomotor with an internal rhythmic neural pattern generator to examine various undulatory locomotion such as swimming and crawling behaviours. By using local mechanical load as mechanosensory feedback, we have found that undulatory locomotion robustly emerges in different rheological media.
View Article and Find Full Text PDFOptical autocorrelators are typically employed to retrieve the temporal information of bound-state lasers; however, they suffer from limitations when multiple sub-pulses coexist with varying intensities and pulse widths. To this end, this study investigates the impact of differences in pulse temporal intensity and width between two unequal pulses in a bound-state laser on the corresponding autocorrelation trace. Maps of autocorrelation trace in terms of the temporal profile of unequal pulse bound state are created to evaluate their internal relationship.
View Article and Find Full Text PDFStereoelectroencephalographic exploration and surgical outcome in Lennox-Gastaut syndrome.
Epilepsia
January 2025
Department of Epileptology and Cerebral Rhythmology, APHM, Timone Hospital, Marseille, France.
Objective: Lennox-Gastaut syndrome (LGS) is typically characterized by drug-resistant epilepsy and subsequent cognitive deterioration. Surgery is a rare but viable option for the control of seizures in a subset of patients with LGS. This study aimed to describe the organization of the epileptogenic zone network (EZN) in patients with LGS using stereoelectroencephalography (SEEG) and to report the outcome of post-SEEG treatment.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!