Ulrich Parlitz
Latest
- Enhancing reservoir predictions of chaotic time series by incorporating delayed values of input and reservoir variables
- Societal self-regulation induces complex infection dynamics and chaos
- Success rates of simulated multi-pulse defibrillation protocols are sensitive to application timing with individual, protocol-specific optimal timings
- Detecting pulsatile motion of blood vessels in Real-Time MRI
- Learning from the past: reservoir computing using delayed variables
- Mapping Hierarchical File Structures to Semantic Data Models for Efficient Data Integration into Research Data Management Systems
- Deployment of an HPC-Accelerated Research Data Management System: Exemplary Workflow in HeartAndBrain Study
- Influence of conduction heterogeneities on transient spatiotemporal chaos in cardiac excitable media
- Winners of 2022 Edward Norton Lorenz Early Career Awards
- Attractor selection in nonlinear oscillators by temporary dual-frequency driving
- Estimating fractal dimensions: A comparative review and open source implementations
- Optimising low-energy defibrillation in 2D cardiac tissue with a genetic algorithm
- Ordinal pattern-based complexity analysis of high-dimensional chaotic time series
- The role of pulse timing in cardiac defibrillation
- Optical mapping of contracting hearts
- Control of escapes in two-degree-of-freedom open Hamiltonian systems
- Non-monotonous dose response function of the termination of spiral wave chaos
- Nonlinear Dynamics - A Concise Introduction Interlaced with Code
- Synchronization of a genetic oscillator with the cell division cycle
- Taming cardiac arrhythmias: Terminating spiral wave chaos by adaptive deceleration pacing
- Drift and termination of spiral waves in optogenetically modified cardiac tissue at sub-threshold illumination
- Extracting Robust Biomarkers From Multichannel EEG Time Series Using Nonlinear Dimensionality Reduction Applied to Ordinal Pattern Statistics and Spectral Quantities
- Heterogene wissenschaftliche Dateistrukturen FAIR gestalten: Eine flexible, robuste Open-Source-Lösung mit dem CaosDB Crawler
- Reconstructing Complex Cardiac Excitation Waves From Incomplete Data Using Echo State Networks and Convolutional Autoencoders
- Some elements for a history of the dynamical systems theory
- Predicting the duration of chaotic transients in excitable media
- Electromechanic Imaging of the Heart
- Feedforward attractor targeting for non-linear oscillators using a dual-frequency driving technique
- GPU accelerated study of a dual-frequency driven single bubble in a 6-dimensional parameter space: The active cavitation threshold
- Guidelines for a Standardized Filesystem Layout for Scientific Data
- High-Resolution Optical Measurement of Cardiac Restitution, Contraction and Fibrillation Dynamics in Beating versus Blebbistatin-uncoupled Isolated Rabbit Hearts
- High-performance GPU computations in nonlinear dynamics: an efficient tool for new discoveries
- Predicting spatio-temporal time series using dimension reduced local states
- Susceptibility of transient chimera states
- Terminating transient chaos in spatially extended systems
- Multiscale modeling of dyadic structure-function relation in ventricular cardiac myocytes
- Agonistic and antagonistic roles of fibroblasts and cardiomyocytes on viscoelastic stiffening of engineered human myocardium
- CaosDB—Research Data Management for complex, changing, and automated research workflows
- Convolutional autoencoder and conditional random fields hybrid for predicting spatial-temporal chaos
- Gradient based hyperparameter optimization in Echo State Networks
- Synchronization of viscoelastically coupled excitable oscillators
- Simultaneous unpinning of multiple vortices in two-dimensional excitable media
- Spontaneous termination of chaotic spiral wave dynamics in human cardiac ion channel models
- Unsupervised feature extraction of anterior chamber OCT images for ordering and classification
- Non-feedback technique to directly control multistability in nonlinear oscillators by dual-frequency driving
- Scaling behavior of the terminal transient phase
- Data-Driven Modeling and Prediction of Complex Spatio-Temporal Dynamics in Excitable Media
- Observing spatio-temporal dynamics of excitable media using reservoir computing
- Terminal transient phase of chaotic transients
- An ensemble framework for time delay synchronization
- Spatiotemporal permutation entropy as a measure for complexity of cardiac arrhythmia
- Modelling far field pacing for terminating spiral waves pinned to ischaemic heterogeneities in cardiac tissue
- Emergent dynamics of spatio-temporal chaos in a heterogeneous excitable medium
- Introduction to focus issue: Complex cardiac dynamics
- Detection and characterization of intermittent complexity variations in cardiac arrhythmia
- Features of chaotic transients in excitable media governed by spiral and scroll waves
- Spontaneous termination of reentrant activity under myocardial acute ischemia: Role of cellular conductivity and its relation to ischemic heterogeneities
- Sustainability, collapse and oscillations in a simple World-Earth model
- Impact of viscoelastic coupling on the synchronization of symmetric and asymmetric self-sustained oscillators
- Estimability and dependency analysis of model parameters based on delay coordinates
- Bifurcations, chaos, and sensitivity to parameter variations in the Sato cardiac cell model
- Estimating Lyapunov exponents from time series
- Stabilization of three-dimensional scroll waves and suppression of spatiotemporal chaos by heterogeneities
- Comparison of winding-number sequences for symmetric and asymmetric oscillatory systems
- Quantifying spatiotemporal complexity of cardiac dynamics using ordinal patterns
- Basin structure of optimization based state and parameter estimation
- Changes of sleep-stage transitions due to ageing and sleep disorder
- Entropy rate maps of complex excitable dynamics in cardiac monolayers
- Using waveform information in nonlinear data assimilation
- Detecting Synchronization and Interrelations in Multivariate Time Series
- Evaluation of Machine Learning Methods for the Long-Term Prediction of Cardiac Diseases
- Local observability of state variables and parameters in nonlinear modeling quantified by delay reconstruction
- Quantifying uncertainty in state and parameter estimation
- Accurate state and parameter estimation in nonlinear systems with sparse observations
- Identification of equivalent dynamics using ordinal pattern distributions
- Nonlinear system identification employing automatic differentiation
- Neural control and adaptive neural forward models for insect-like, energy-efficient, and adaptable locomotion of walking machines
- Mutual information rate and bounds for it
- Theory and computation of covariant Lyapunov vectors
- Manifold learning approach for chaos in the dripping faucet
- Stimulated emission depletion live-cell super-resolution imaging shows proliferative remodeling of T-tubule membrane structures after myocardial infarction
- Dynamics of a driven oscillator carrying a freely sliding mass
- Classifying cardiac biosignals using ordinal pattern statistics and symbolic dynamics
- State and parameter estimation using unconstrained optimization
- Inferring network connectivity by delayed feedback control
- Synchronization based system identification of an extended excitable system
- Synchronization patterns in transient spiral wave dynamics
- Phase-resolved analysis of the susceptibility of pinned spiral waves to far-field pacing in a two-dimensional model of excitable media
- Far Field Pacing supersedes Anti-Tachycardia Pacing in a generic model of excitable media