Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (2)
- Data Science (2)
- Engineering (2)
- Life Sciences (2)
- Mathematics (2)
-
- Ordinary Differential Equations and Applied Dynamics (2)
- Analysis (1)
- Artificial Intelligence and Robotics (1)
- Biochemistry, Biophysics, and Structural Biology (1)
- Biological and Chemical Physics (1)
- Biophysics (1)
- Computational Biology (1)
- Computational Engineering (1)
- Control Theory (1)
- Dynamical Systems (1)
- Genetics and Genomics (1)
- Non-linear Dynamics (1)
- Numerical Analysis and Computation (1)
- Partial Differential Equations (1)
- Physics (1)
- Systems Biology (1)
- Institution
- Publication
- Publication Type
Articles 1 - 5 of 5
Full-Text Articles in Dynamic Systems
The Digital Neuron: Neural Cellular Automata For Neural–Symbolic Translation, Nicole Assenza
The Digital Neuron: Neural Cellular Automata For Neural–Symbolic Translation, Nicole Assenza
SMU Data Science Review
A neural cellular automata (NCA) architecture, referred to as Pluto’s NCA, was developed to characterize bilateral communication and semantic reciprocity between symbolic representations and a spatially distributed update field. The architecture employs an encoder–automata–decoder pipeline that maps symbolic inputs into a multichannel state field and reconstructs them through agreement-driven attractor convergence within a stable semantic attractor landscape. System behavior was evaluated under controlled perturbations, including rhythmic desynchronization, graded ablations, correlated and independent noise, and percolation-based structural degradation. Quantities such as Agreement(t), internal coherence Aᵢ(t), the recovery time constant τ, and the critical percolation threshold pc were measured to assess stability, …
Symmetry-Inspired Analysis Of Biological Networks, Ian Leifer
Symmetry-Inspired Analysis Of Biological Networks, Ian Leifer
Dissertations, Theses, and Capstone Projects
The description of a complex system like gene regulation of a cell or a brain of an animal in terms of the dynamics of each individual element is an insurmountable task due to the complexity of interactions and the scores of associated parameters. Recent decades brought about the description of these systems that employs network models. In such models the entire system is represented by a graph encapsulating a set of independently functioning objects and their interactions. This creates a level of abstraction that makes the analysis of such large scale system possible. Common practice is to draw conclusions about …
Smooth Global Approximation For Continuous Data Assimilation, Kenneth R. Brown
Smooth Global Approximation For Continuous Data Assimilation, Kenneth R. Brown
Theses and Dissertations
This thesis develops the finite element method, constructs local approximation operators, and bounds their error. Global approximation operators are then constructed with a partition of unity. Finally, an application of these operators to data assimilation of the two-dimensional Navier-Stokes equations is presented, showing convergence of an algorithm in all Sobolev topologies.
Spontaneous Synchrony On Graphs And The Emergence Of Order From Disorder, Dylan Linville, Daniel Trugillo Martins Fontes
Spontaneous Synchrony On Graphs And The Emergence Of Order From Disorder, Dylan Linville, Daniel Trugillo Martins Fontes
Mathematical Sciences Technical Reports (MSTR)
From pulsars to pedestrians and bacteria to brain cells, objects that exhibit cyclical behavior, called oscillators, are found in a variety of different settings. When oscillators adjust their behavior in response to nearby oscillators, they often achieve a state of synchrony, in which they all have the same phase and frequency. Here, we explore the Kuramoto model, a simple and general model which describes oscillators as dynamical systems on a graph and has been used to study synchronization in systems ranging from firefly swarms to the power grid. We discuss analytical and numerical methods used to investigate the governing system …
Spontaneous Synchrony On Graphs And The Emergence Of Order From Disorder, Dylan Linville, Daniel Trugillo Martins Fontes
Spontaneous Synchrony On Graphs And The Emergence Of Order From Disorder, Dylan Linville, Daniel Trugillo Martins Fontes
Rose-Hulman Undergraduate Research Publications
From pulsars to pedestrians and bacteria to brain cells, objects that exhibit cyclical behavior, called oscillators, are found in a variety of different settings. When oscillators adjust their behavior in response to nearby oscillators, they often achieve a state of synchrony, in which they all have the same phase and frequency. Here, we explore the Kuramoto model, a simple and general model which describes oscillators as dynamical systems on a graph and has been used to study synchronization in systems ranging from firefly swarms to the power grid. We discuss analytical and numerical methods used to investigate the governing system …