Noise-activated transitions between coexisting attractors are investigated in a chaotic spiking network. At low noise level, attractor hopping consists of discrete bifurcation events that conserve the memory of initial conditions. When the escape probability becomes comparable to the intrabasin hopping probability, the lifetime of attractors is given by a detailed balance where the less coherent attractors act as a sink for the more coherent ones. In this regime, the escape probability follows an activation law allowing us to assign pseudoactivation energies to limit cycle attractors. These pseudoenergies introduce a useful metric for evaluating the resilience of biological rhythms to perturbations.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1103/PhysRevE.105.064203 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Temporal and spatial pattern analysis of escaped prescribed fires in California from 1991 to 2020.
Fire Ecol
January 2025
Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, CA USA.
Background: Prescribed fires play a critical role in reducing the intensity and severity of future wildfires by systematically and widely consuming accumulated vegetation fuel. While the current probability of prescribed fire escape in the United States stands very low, their consequential impact, particularly the large wildfires they cause, raises substantial concerns. The most direct way of understanding this trade-off between wildfire risk reduction and prescribed fire escapes is to explore patterns in the historical prescribed fire records.
View Article and Find Full Text PDFBayesian Assessment of Corrosion-Related Failures in Steel Pipelines.
Entropy (Basel)
December 2024
Consiglio Nazionale delle Ricerche-Istituto di Matematica Applicata e Tecnologie Informatiche, I-20133 Milano, Italy.
The probability of gas escapes from steel pipelines due to different types of corrosion is studied with real failure data from an urban gas distribution network. Both the design and maintenance of the network are considered, identifying and estimating (in a Bayesian framework) an elementary multinomial model in the first case, and a more sophisticated non-homogeneous Poisson process in the second case. Special attention is paid to the elicitation of the experts' opinions.
View Article and Find Full Text PDFInvestigating the contributors to hit-and-run crashes using gradient boosting decision trees.
PLoS One
January 2025
School of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China.
Article Synopsis
- A classification prediction model using Gradient Boosting Decision Tree (GBDT) is developed to analyze factors leading to escape behaviors in hit-and-run crashes, based on data from the U.S. Crash Report Sampling System (CRSS).
- GBDT outperforms other common methods like CART, Random Forest, and Logistic Regression, achieving the best metrics (lowest negative log-likelihood, misclassification rate, and highest AUC) and showcasing better computational efficiency.
- The GBDT model uncovers previously unmentioned factors, such as crash type and relation to the trafficway, and effectively studies interactions between variables, providing valuable insights for improving hit-and-run incident prevention and safety analysis.
Integration of Immune Cell-Target Cell Conjugate Dynamics Changes the Time Scale of Immune Control of Cancer.
Bull Math Biol
January 2025
Department of Theoretical Biology, Max Planck Institute for Evolutionary Biology, August-Thienemann-Strasse 2, 24306, Ploen, Germany.
The human immune system can recognize, attack, and eliminate cancer cells, but cancers can escape this immune surveillance. Variants of ecological predator-prey models can capture the dynamics of such cancer control mechanisms by adaptive immune system cells. These dynamical systems describe, e.
View Article and Find Full Text PDFRegulate PD-L1's membrane orientation thermodynamics with hydrophobic nanoparticles.
Biomater Sci
January 2025
Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Ministry of Education for Biomechanics and Mechanobiology, School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Tumor cells can escape from immune killing by binding their programmed death ligand-1 (PD-L1) to the programmed cell death protein 1 (PD-1) of T cells. These immune checkpoint proteins (PD-L1/PD-1) have become very important drug targets, since blocking PD-L1 or PD-1 can recover the killing capability of T cells against tumor cells. Instead of targeting the binding interface between PD-L1 and PD-1, we explored the possibility of regulating the membrane orientation thermodynamics of PD-L1 with ligand-modified ultra-small hydrophobic nanoparticles (NPs) using μs-scale coarse-grained molecular dynamics (MD) simulations in this work.
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!