4.6 Article

Classification of anomalous diffusion in animal movement data using power spectral analysis

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Multidisciplinary Sciences

Big-data approaches lead to an increased understanding of the ecology of animal movement

Ran Nathan et al.

Summary: Understanding animal movement is crucial for understanding how animals interact, survive, and thrive in a changing world. Recent advances in data collection and management have allowed for more comprehensive investigation into the movements of wild animals and their interactions with the environment.

SCIENCE (2022)

Article Physics, Multidisciplinary

Ergodicity Breaking in Area-Restricted Search of Avian Predators

Ohad Vilk et al.

Summary: Quantifying and comparing patterns of dynamical ecological systems requires averaging over measurable quantities. However, in nonergodic systems, such averaging is inconsistent, thus identifying ergodicity breaking is essential. The study found that local movement and global movement have distinct differences, and local animal movement is scale specific.

PHYSICAL REVIEW X (2022)

Article Physics, Multidisciplinary

Unravelling the origins of anomalous diffusion: From molecules to migrating storks

Ohad Vilk et al.

Summary: Anomalous diffusion or transport, characterized by the nonlinear relationship between mean-squared displacement and measurement time, is widely observed in nature. Using data from various empirical systems, a method is employed to detect the individual origins of anomalous diffusion and transport. The method identifies three primary effects: long-range correlations, fat-tailed probability density of increments, and nonstationarity. The decomposition of real-life data allows for nontrivial behavioral predictions and resolves open questions in single-particle tracking and movement ecology.

PHYSICAL REVIEW RESEARCH (2022)

Article Physics, Multidisciplinary

Moses, Noah and Joseph effects in Levy walks

Erez Aghion et al.

Summary: The study proposes a method for detecting the origins of anomalous diffusion without prior knowledge of the dynamics, by quantifying increment correlations, fat-tails of the increment probability density, and non-stationarity. The research reveals that after appropriate rescaling, the increment distribution converges to a time-invariant asymptotic shape at increasing times, with different processes reaching equilibrium, infinite-invariant, or infinite-covariant density as an asymptotic limit. The numerical analysis in a model of a non-linearly coupled Levy walk confirms the theoretical predictions and discusses the generalizability of the method.

NEW JOURNAL OF PHYSICS (2021)

Article Physics, Multidisciplinary

Leveraging large-deviation statistics to decipher the stochastic properties of measured trajectories

Samudrajit Thapa et al.

Summary: The article introduces a new method based on time-series analysis, by analyzing the deviations of time-averaged mean-squared displacements to extract information about stochastic processes, and it can effectively test the applicability to simulated and real data sets, which is of great significance for studying observed stochastic processes.

NEW JOURNAL OF PHYSICS (2021)

Article Multidisciplinary Sciences

Objective comparison of methods to decode anomalous diffusion

Gorka Munoz-Gil et al.

Summary: Deviations from Brownian motion leading to anomalous diffusion are commonly found in transport dynamics, but challenging to characterize. An open competition comparing different approaches for single trajectory analysis showed that machine learning methods outperform classical approaches.

NATURE COMMUNICATIONS (2021)

Article Multidisciplinary Sciences

Aging power spectrum of membrane protein transport and other subordinated random walks

Zachary R. Fox et al.

Summary: Interpreting experimental data from single-particle tracking experiments is challenging. The authors proposed a new method based on power spectrum to determine the dynamics of stochastic motion of molecules. They used the aging Wiener-Khinchin theorem to derive the power spectral density of fractional Brownian motion coexisting with a scale-free continuous time random walk.

NATURE COMMUNICATIONS (2021)

Article Multidisciplinary Sciences

1/f-noise-free optical sensing with an integrated heterodyne interferometer

Ming Jin et al.

Summary: Optical evanescent sensors have proposed a 1/f-noise-free optical sensor through an up-converted detection system, achieving a significant suppression of sampling noise amplitude in a CMOS-compatible heterodyne interferometer. This advancement allows for label-free single-nanoparticle detection down to the attogram level, showing great potential for airborne biosensing and rapid sensing of diverse viruses or molecules.

NATURE COMMUNICATIONS (2021)

Review Ecology

Computer Vision, Machine Learning, and the Promise of Phenomics in Ecology and Evolutionary Biology

Moritz D. Lurig et al.

Summary: This article explains how ecologists and evolutionary biologists use computer vision (CV) to extract and process information from digital images to collect phenotypic data. CV provides an opportunity to address the bottleneck in image analysis and can help researchers effectively capture data at the phenomic level.

FRONTIERS IN ECOLOGY AND EVOLUTION (2021)

Review Behavioral Sciences

Point estimates, Simpson?s paradox, and nonergodicity in biological sciences

Madhur Mangalam et al.

Summary: The passage describes systematic violations of ergodic assumptions in modern biomedical, behavioral, and psychological inference about cause-effect relationships, advocating for a paradigm shift towards using statistical measures that can encode nonergodicity. This shift will enable researchers to investigate the nonstationary, far-from-equilibrium processes that characterize biological and psychological behavior.

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2021)

Article Physics, Multidisciplinary

Single trajectory characterization via machine learning

Gorka Munoz-Gil et al.

NEW JOURNAL OF PHYSICS (2020)

Article Physics, Multidisciplinary

Universal spectral features of different classes of random-diffusivity processes

Vittoria Sposini et al.

NEW JOURNAL OF PHYSICS (2020)

Article Physics, Multidisciplinary

Fractional Brownian motion with random diffusivity: emerging residual nonergodicity below the correlation time

Wei Wang et al.

JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL (2020)

Article Biophysics

Single-Particle Diffusion Characterization by Deep Learning

Naor Granik et al.

BIOPHYSICAL JOURNAL (2019)

Article Physics, Multidisciplinary

Single-trajectory spectral analysis of scaled Brownian motion

Vittoria Sposini et al.

NEW JOURNAL OF PHYSICS (2019)

Article Physics, Multidisciplinary

First passage and first hitting times of Levy flights and Levy walks

Vladimir V. Palyulin et al.

NEW JOURNAL OF PHYSICS (2019)

Article Mechanics

Brownian motion and beyond: first-passage, power spectrum, non-Gaussianity, and anomalous diffusion

Ralf Metzler

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2019)

Article Physics, Multidisciplinary

Power spectral density of a single Brownian trajectory: what one can and cannot learn from it

Diego Krapf et al.

NEW JOURNAL OF PHYSICS (2018)

Article Multidisciplinary Sciences

Neuronal messenger ribonucleoprotein transport follows an aging Levy walk

Minho S. Song et al.

NATURE COMMUNICATIONS (2018)

Review Computer Science, Information Systems

Ecological metrics and methods for GPS movement data

Dana Paige Seidel et al.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2018)

Article Physics, Condensed Matter

1/fβ noise for scale-invariant processes: how long you wait matters

Nava Leibovich et al.

EUROPEAN PHYSICAL JOURNAL B (2017)

Article Ecology

What is the animal doing? Tools for exploring behavioural structure in animal movements

Eliezer Gurarie et al.

JOURNAL OF ANIMAL ECOLOGY (2016)

Article Ecology

Of scales and stationarity in animal movements

Simon Benhamou

ECOLOGY LETTERS (2014)

Article Physics, Multidisciplinary

1/f noise for intermittent quantum dots exhibits non-stationarity and critical exponents

Sanaz Sadegh et al.

NEW JOURNAL OF PHYSICS (2014)

Article Multidisciplinary Sciences

powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions

Jeff Alstott et al.

PLOS ONE (2014)

Article Mathematical & Computational Biology

Machine learning for neuroirnaging with scikit-learn

Alexandre Abraham et al.

FRONTIERS IN NEUROINFORMATICS (2014)

Article Biology

Periodicity analysis of movement recursions

Louise Riotte-Lambert et al.

JOURNAL OF THEORETICAL BIOLOGY (2013)

Review Nanoscience & Nanotechnology

Low-frequency 1/f noise in graphene devices

Alexander A. Balandin

NATURE NANOTECHNOLOGY (2013)

Article Chemistry, Physical

Single particle tracking in systems showing anomalous diffusion: the role of weak ergodicity breaking

Stas Burov et al.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2011)

Article Multidisciplinary Sciences

Ergodic and nonergodic processes coexist in the plasma membrane as observed by single-molecule tracking

Aubrey V. Weigel et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2011)

Article Physics, Multidisciplinary

Random time-scale invariant diffusion and transport coefficients

Y. He et al.

PHYSICAL REVIEW LETTERS (2008)

Article Multidisciplinary Sciences

A movement ecology paradigm for unifying organismal movement research

Ran Nathan et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2008)

Article Physics, Multidisciplinary

Self-organised criticality and 1/f noise in single-channel current of voltage-dependent anion channel

J Banerjee et al.

EUROPHYSICS LETTERS (2006)

Article Chemistry, Physical

Aging continuous time random walks

E Barkai et al.

JOURNAL OF CHEMICAL PHYSICS (2003)

Article Mathematics, Applied

From 1/f noise to multifractal cascades in heartbeat dynamics

PC Ivanov et al.