Article
Physics, Multidisciplinary
Andrew Rolph
Summary: In this article, we study the entanglement structure and dynamics in CFTs and black holes, employing a local entanglement measure known as the entanglement contour. We calculate the entanglement contour for different systems, including 1+1-dimensional condensed matter systems and simplified models of black hole evaporation. Our findings reveal universal results for the entanglement contours in low energy non-equilibrium states of 2D CFTs and illustrate the presence of an island phase transition in the entanglement contour of a non-gravitational bath coupled to an extremal AdS(2) black hole.
Article
Biochemical Research Methods
Haonan Feng, Ruiqing Zheng, Jianxin Wang, Fang-Xiang Wu, Min Li
Summary: Gene regulatory networks play a crucial role in biological processes, and existing expression data can be used to infer these networks using computational methods. However, identifying indirect regulatory links remains a challenge. In this study, a novel information-theory-based method is proposed to improve the identification of regulatory relationships between genes.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2022)
Article
Computer Science, Information Systems
Jianhua Dai, Qi Liu, Xiongtao Zou, Chucai Zhang
Summary: This article proposes the concept of fuzzy combination entropy and constructs fuzzy combination entropy and its variants by combining fuzzy rough sets and combination entropy. The concepts of global feature correlation and local feature correlation are defined, and an importance metric is proposed. Finally, a feature selection method considering global feature correlation and local feature correlation is designed.
INFORMATION SCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Joshua M. Brown, Terry Bossomaier, Lionel Barnett
Summary: The Vicsek model utilizes topological neighbor interactions to study phase transitions, showing that information theoretic quantities depend on observation time. Topological variant converges to long-term limiting behavior with smaller observation windows compared to the canonical model, and maximal information transfer in topological model depends on noise and velocity rather than the current phase, unlike the metric model.
JOURNAL OF COMPUTATIONAL SCIENCE
(2021)
Article
Astronomy & Astrophysics
Hajar Ebrahim, Monireh Ahmadpour
Summary: In this paper, we study the effects of deformation and temperature on holographic entanglement entropy and mutual information in a deformed field theory at finite temperature. The introduction of TT over bar deformation operator in field theory leads to a cutoff in the dual gravity background. We define different parameter regimes and analytically calculate the entanglement entropy and mutual information. We observe that temperature and deformation parameter have similar effects on the decrease of mutual information or the correlation between the two subsystems. Interestingly, we find the emergence of universal correction terms in entanglement entropy and mutual information that do not depend on the scale of the nonlocal operator.
Article
Physics, Multidisciplinary
Dora Almeida, Andreia Dionisio, Isabel Vieira, Paulo Ferreira
Summary: Cryptocurrencies, as innovative financial assets, attract the attention of investors and academics due to their unique features. This study evaluates integration and contagion in the cryptocurrency market during the COVID-19 pandemic using mutual information and transfer entropy analysis. The findings demonstrate mixed levels of integration for cryptocurrencies before and after the pandemic, with a decline in integration for those initially highly integrated. There is evidence of contagion from the pandemic only for the Huobi Token, as indicated by mutual information and transfer entropy analysis. This suggests that cryptocurrencies may be a good investment option during real global shocks like the COVID-19 outbreak.
Article
Multidisciplinary Sciences
Qian Zeng, Jin Wang
Summary: This study focuses on refining the concept of Maxwell's demon to explore the limit of energy dissipation in open systems, uncovering a previously unexplored set of fluctuation theorems. These theorems reveal the existence of an intrinsic nonequilibrium state in the system, guided by nonnegative demon-induced dissipative information. The analysis suggests that the bounds of both work and heat in the system are tighter than previously predicted, and proposes a potential experimental test to verify these boundaries.
Article
Physics, Multidisciplinary
Barbara Bedowska-Sojka, Agata Kliber
Summary: This study compares the mutual information shared by different liquidity and volatility estimators within each group, finding that volatility measures are more coherent while liquidity measures are more dispersed.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Physics, Multidisciplinary
Barbara Bedowska-Sojka, Agata Kliber, Aleksandra Rutkowska
Summary: The study found strong interconnections between cryptocurrencies in terms of returns and volatility, but weaker connections in terms of liquidity. The role of privacy-oriented cryptocurrencies has gradually increased.
Article
Engineering, Biomedical
Gorana Mijatovic, Yuri Antonacci, Tatjana Loncar-Turukalo, Ludovico Minati, Luca Faes
Summary: This study introduces an information-theoretic framework for model-free, continuous-time estimation of interactions between spike trains, demonstrating its accuracy for weakly coupled and short realizations compared to the standard discrete-time approach. By applying this framework to real-world data, it shows the ability to describe how functional networks between neuronal units emerge over time, providing more efficient and flexible measures for assessing spike train interactions in neuroscience.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Physics, Multidisciplinary
Hiroki Murakami, Norimasa Yamada
Summary: Fitts studied information capacity and transfer in the speed-accuracy motor paradigm using a theoretical approach based on information theory. By estimating information entropy and mutual information of multiple human movement trajectories, Fitts found that information was processed from the first half of the trajectory in difficult tasks.
Article
Physics, Multidisciplinary
Eun-jin Kim, Adrian-Josue Guel-Cortez
Summary: Information processing in complex systems is common and can be elucidated using information geometric theory. This paper introduces a new information-geometric measure of causality by calculating the effect of one variable on the information rate of the other variable, which proves to be a sensitive method for identifying causal relations.
Article
Physics, Multidisciplinary
Christopher W. Lynn, Caroline M. Holmes, William Bialek, David J. Schwab
Summary: We demonstrate that the evidence for a local arrow of time can be decomposed into irreversibility arising from individual dynamics and correlations among variables. Through models and neural activity analysis, we find that interactions between pairs of neurons contribute primarily to the irreversibility of neural activity.
PHYSICAL REVIEW LETTERS
(2022)
Article
Neurosciences
Shengcui Cheng, Xiaoling Chen, Yuanyuan Zhang, Ying Wang, Xin Li, Xiaoli Li, Ping Xie
Summary: This study introduces a novel method, bivariate empirical mode decomposition-MSTE (BMSTE), to quantify the multiscale interaction at local-frequency bands between the cortex and the muscles. Simulation and experimental results confirm the effectiveness of the BMSTE method in describing the multiscale time-frequency characteristics and coupling strength.
COGNITIVE NEURODYNAMICS
(2023)
Article
Physics, Multidisciplinary
Muhammad Sheraz, Silvia Dedu, Vasile Preda
Summary: This study empirically examines long memory and bi-directional information flow between estimated volatilities of five cryptocurrencies, confirming their long-run dependence and non-linear behavior. OHLC volatility estimators show significant performance in quantifying information flow, providing an additional choice for comparison with other volatility estimators.
