[图书][B] Modeling and inverse problems in the presence of uncertainty
HT Banks, S Hu, WC Thompson - 2014 - books.google.com
Modeling and Inverse Problems in the Presence of Uncertainty collects recent research—
including the authors' own substantial projects—on uncertainty propagation and …
including the authors' own substantial projects—on uncertainty propagation and …
Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What's signal irregularity got to do with it?
JQ Kosciessa, NA Kloosterman… - PLoS computational …, 2020 - journals.plos.org
Multiscale Entropy (MSE) is used to characterize the temporal irregularity of neural time
series patterns. Due to its' presumed sensitivity to non-linear signal characteristics, MSE is …
series patterns. Due to its' presumed sensitivity to non-linear signal characteristics, MSE is …
On time delay estimation and sampling error in resting-state fMRI
Accumulating evidence indicates that resting-state functional magnetic resonance imaging
(rsfMRI) signals correspond to propagating electrophysiological infra-slow activity (< 0.1 Hz) …
(rsfMRI) signals correspond to propagating electrophysiological infra-slow activity (< 0.1 Hz) …
[HTML][HTML] Chaotic biomedical time signal analysis via wavelet scattering transform
A Szczęsna, DR Augustyn, H Josiński… - Journal of …, 2023 - Elsevier
Non-linear techniques are useful to analyze and understand complex systems, especially
biological systems. This paper presents a novel procedure to study the dynamics of …
biological systems. This paper presents a novel procedure to study the dynamics of …
Stochasticity and bistability in insect outbreak dynamics
There is a long history in ecology of using mathematical models to identify deterministic
processes that may lead to dramatic population dynamic patterns like boom-and-bust …
processes that may lead to dramatic population dynamic patterns like boom-and-bust …
On the estimation of brain signal entropy from sparse neuroimaging data
Multi-scale entropy (MSE) has been recently established as a promising tool for the analysis
of the moment-to-moment variability of neural signals. Appealingly, MSE provides a …
of the moment-to-moment variability of neural signals. Appealingly, MSE provides a …
Further results on why a point process is effective for estimating correlation between brain regions
Signals from brain functional magnetic resonance imaging (fMRI) can be efficiently
represented by a sparse spatiotemporal point process, according to a recently introduced …
represented by a sparse spatiotemporal point process, according to a recently introduced …
Nonlinear dynamics of dry friction oscillator subjected to combined harmonic and random excitations
P Kumar, S Narayanan - Nonlinear Dynamics, 2022 - Springer
The dynamics of a nonlinear single degree freedom oscillator on a moving belt subjected to
combined harmonic and random excitations is numerically investigated. The dynamics is …
combined harmonic and random excitations is numerically investigated. The dynamics is …
Distributed multi-robot potential-field-based exploration with submap-based mapping and noise-augmented strategy
K Pongsirijinda, Z Cao, K Bhowmik, M Shalihan… - Robotics and …, 2024 - Elsevier
Multi-robot collaboration has become a needed component in unknown environment
exploration due to its ability to accomplish various challenging situations. Potential-field …
exploration due to its ability to accomplish various challenging situations. Potential-field …
Catastrophic and noncatastrophic population crashes in a bitrophic system with dynamic additional food provision to cooperative predators
In this article we contemplate the dynamics of an additional food-provided prey-predator
system. We assume that the behavior of cooperative predators induces fear in prey, which …
system. We assume that the behavior of cooperative predators induces fear in prey, which …