AIMC Topic: Nonlinear Dynamics

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Robust parallel decision-making in neural circuits with nonlinear inhibition.

Proceedings of the National Academy of Sciences of the United States of America Oct 2, 2020
An elemental computation in the brain is to identify the best in a set of options and report its value. It is required for inference, decision-making, optimization, action selection, consensus, and foraging. Neural computing is considered powerful be...
Neural Networks, Computer Neurons Nonlinear Dynamics Nerve Net Models, Neurological Decision Making
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Deep learning-based reduced order models in cardiac electrophysiology.

PloS one Oct 1, 2020
Predicting the electrical behavior of the heart, from the cellular scale to the tissue level, relies on the numerical approximation of coupled nonlinear dynamical systems. These systems describe the cardiac action potential, that is the polarization/...
Models, Cardiovascular Electrophysiological Phenomena Nonlinear Dynamics Myocardial Ischemia Deep Learning Heart
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Event-driven H control with critic learning for nonlinear systems.

Neural networks : the official journal of the International Neural Network Society Aug 20, 2020
In this paper, we study an event-driven H control problem of continuous-time nonlinear systems. Initially, with the introduction of a discounted cost function, we convert the nonlinear H control problem into an event-driven nonlinear two-player zero-...
Machine Learning Algorithms Feedback Neural Networks, Computer Nonlinear Dynamics
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Machine learning-based mortality rate prediction using optimized hyper-parameter.

Computer methods and programs in biomedicine Aug 18, 2020
OBJECTIVE AND BACKGROUND: The current scenario of the Pandemic of COVID-19 demands multi-channel investigations and predictions. A variety of prediction models are available in the literature. The majority of these models are based on extrapolating b...
Normal Distribution Models, Statistical Regression Analysis Nonlinear Dynamics Statistics, Nonparametric Models, Biological COVID-19 Sweden Computational Biology Machine Learning Pandemics Humans
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Anisotropic Gaussian kernel adaptive filtering by Lie-group dictionary learning.

PloS one Aug 14, 2020
The present paper proposes a novel kernel adaptive filtering algorithm, where each Gaussian kernel is parameterized by a center vector and a symmetric positive definite (SPD) precision matrix, which is regarded as a generalization of scalar width par...
Nonlinear Dynamics Normal Distribution Machine Learning Anisotropy Algorithms
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Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning.

Neural networks : the official journal of the International Neural Network Society Aug 13, 2020
This paper addresses learning with exploration driven by chaotic internal dynamics of a neural network. Hoerzer et al. showed that a chaotic reservoir network (RN) can learn with exploration driven by external random noise and a sequential reward. In...
Machine Learning Computer Simulation Reward Neural Networks, Computer Nonlinear Dynamics
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Numerical simulation of deformed red blood cell by utilizing neural network approach and finite element analysis.

Computer methods in biomechanics and biomedical engineering Aug 10, 2020
In order to have research on the deformation characteristics and mechanical properties of human red blood cells (RBCs), finite element models of RBC optical tweezers stretching and atomic force microscope (AFM) indentation were established. Non-linea...
Numerical Analysis, Computer-Assisted Erythrocyte Deformability Elasticity Finite Element Analysis Models, Biological Neural Networks, Computer Erythrocytes Nonlinear Dynamics Algorithms Humans Stress, Mechanical Microscopy, Atomic Force Computer Simulation
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DE-CNN: An Improved Identity Recognition Algorithm Based on the Emotional Electroencephalography.

Computational and mathematical methods in medicine Aug 8, 2020
In the past few decades, identification recognition based on electroencephalography (EEG) has received extensive attention to resolve the security problems of conventional biometric systems. In the present study, a novel EEG-based identification syst...
Electroencephalography Biometric Identification Computational Biology Mathematical Concepts Signal Processing, Computer-Assisted Humans Neural Networks, Computer Nonlinear Dynamics Emotions Algorithms
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An Automatic Epilepsy Detection Method Based on Improved Inductive Transfer Learning.

Computational and mathematical methods in medicine Aug 3, 2020
Epilepsy is a chronic disease caused by sudden abnormal discharge of brain neurons, causing transient brain dysfunction. The seizures of epilepsy have the characteristics of being sudden and repetitive, which has seriously endangered patients' health...
Epilepsy Seizures Nonlinear Dynamics Mathematical Concepts Signal Processing, Computer-Assisted Regression Analysis Least-Squares Analysis Discriminant Analysis Diagnosis, Computer-Assisted Humans Computational Biology Machine Learning Algorithms
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Integral reinforcement learning based event-triggered control with input saturation.

Neural networks : the official journal of the International Neural Network Society Jul 30, 2020
In this paper, a novel integral reinforcement learning (IRL)-based event-triggered adaptive dynamic programming scheme is developed for input-saturated continuous-time nonlinear systems. By using the IRL technique, the learning system does not requir...
Machine Learning Computer Simulation Nonlinear Dynamics Feedback
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