AIMC Topic: Nonlinear Dynamics

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PROSE: Predicting Multiple Operators and Symbolic Expressions using multimodal transformers.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2024
Approximating nonlinear differential equations using a neural network provides a robust and efficient tool for various scientific computing tasks, including real-time predictions, inverse problems, optimal controls, and surrogate modeling. Previous w...
Humans Neural Networks, Computer Algorithms Symbolism Language Nonlinear Dynamics
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ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints.

Neural networks : the official journal of the International Neural Network Society Sep 14, 2024
This paper investigates the consensus control issue for nonlinear multiagent systems (MASs) subject to irregular state constraints and actuator faults using an adaptive dynamic programming (ADP) algorithm. Unlike the regular state constraints conside...
Consensus Nonlinear Dynamics Algorithms Computer Simulation Neural Networks, Computer
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Advanced Non-linear Modeling and Explainable Artificial Intelligence Techniques for Predicting 30-Day Complications in Bariatric Surgery: A Single-Center Study.

Obesity surgery Sep 13, 2024
PURPOSE: Metabolic bariatric surgery (MBS) became integral to managing severe obesity. Understanding surgical risks associated with MBS is crucial. Different scores, such as the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Pr...
Postoperative Complications ROC Curve Obesity, Morbid Nonlinear Dynamics Bariatric Surgery Middle Aged Risk Assessment Adult Male Humans Artificial Intelligence Retrospective Studies Female Machine Learning
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Deep brain stimulation and lag synchronization in a memristive two-neuron network.

Neural networks : the official journal of the International Neural Network Society Sep 10, 2024
In the pursuit of potential treatments for neurological disorders and the alleviation of patient suffering, deep brain stimulation (DBS) has been utilized to intervene or investigate pathological neural activities. To explore the exact mechanism of h...
Humans Neural Networks, Computer Neuronal Plasticity Models, Neurological Computer Simulation Deep Brain Stimulation Action Potentials Nonlinear Dynamics Neurons Synapses
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Sampled-data synchronization for fuzzy inertial cellular neural networks and its application in secure communication.

Neural networks : the official journal of the International Neural Network Society Sep 6, 2024
This paper designs the sampled-data control (SDC) scheme to delve into the synchronization problem of fuzzy inertial cellular neural networks (FICNNs). Technically, the rate at which the information or activation of cellular neuronal transmission mad...
Neural Networks, Computer Algorithms Computer Simulation Humans Nonlinear Dynamics Computer Security Communication Fuzzy Logic
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Dissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks.

Nature neuroscience Sep 6, 2024
Understanding the dynamical transformation of neural activity to behavior requires new capabilities to nonlinearly model, dissociate and prioritize behaviorally relevant neural dynamics and test hypotheses about the origin of nonlinearity. We present...
Nonlinear Dynamics Nerve Net Animals Neural Networks, Computer Action Potentials Male Models, Neurological Neurons
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State transition learning with limited data for safe control of switched nonlinear systems.

Neural networks : the official journal of the International Neural Network Society Sep 3, 2024
Switching dynamics are prevalent in real-world systems, arising from either intrinsic changes or responses to external influences, which can be appropriately modeled by switched systems. Control synthesis for switched systems, especially integrating ...
Machine Learning Algorithms Computer Simulation Humans Neural Networks, Computer Nonlinear Dynamics
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Shot-Noise Limited Nonlinear Optical Imaging Excited With GHz Femtosecond Pulses and Denoised by Deep-Learning.

Journal of biophotonics Sep 1, 2024
Multiphoton fluorescence microscopy excited with femtosecond pulses at high repetition rates, particularly in the range of 100's MHz to GHz, offers an alternative solution to suppress photoinduced damage to biological samples, for example, photobleac...
Humans Animals Deep Learning Nonlinear Dynamics Signal-To-Noise Ratio Time Factors Optical Imaging Image Processing, Computer-Assisted
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Aperiodically intermittent quantized control-based exponential synchronization of quaternion-valued inertial neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 29, 2024
Inertial neural networks are proposed via introducing an inertia term into the Hopfield models, which make their dynamic behavior more complex compared to the traditional first-order models. Besides, the aperiodically intermittent quantized control o...
Feedback Algorithms Humans Nonlinear Dynamics Computer Simulation Neural Networks, Computer
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Asynchronous iterative Q-learning based tracking control for nonlinear discrete-time multi-agent systems.

Neural networks : the official journal of the International Neural Network Society Aug 26, 2024
This paper addresses the tracking control problem of nonlinear discrete-time multi-agent systems (MASs). First, a local neighborhood error system (LNES) is constructed. Then, a novel tracking algorithm based on asynchronous iterative Q-learning (AIQL...
Nonlinear Dynamics Algorithms Neural Networks, Computer Computer Simulation Machine Learning Humans
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