AIMC Topic: Nonlinear Dynamics

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Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling.

Neural networks : the official journal of the International Neural Network Society Sep 5, 2018
In this paper, global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay is investigated. First, by choosing suitable variable substitution, the inertial memristive neural networks are transfor...
Time Factors Diffusion Nonlinear Dynamics Neural Networks, Computer Algorithms
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Exponential consensus of discrete-time non-linear multi-agent systems via relative state-dependent impulsive protocols.

Neural networks : the official journal of the International Neural Network Society Aug 27, 2018
In this paper, we discuss the exponential consensus problem of discrete-time multi-agent systems with non-linear dynamics via relative state-dependent impulsive protocols. Impulsive protocols of which the impulsive instants are dependent on the weigh...
Neural Networks, Computer Algorithms Nonlinear Dynamics Time Factors Consensus
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Application of chaos in a recurrent neural network to control in ill-posed problems: a novel autonomous robot arm.

Biological cybernetics Aug 20, 2018
Inspired by a viewpoint that complex/chaotic dynamics would play an important role in biological systems including the brain, chaotic dynamics introduced in a recurrent neural network was applied to robot control in ill-posed situations. By computer ...
Nonlinear Dynamics Neural Networks, Computer Range of Motion, Articular Computers Humans Robotics Models, Neurological Nerve Net Computer Simulation Arm Hand Strength
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Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks.

Neuron Jul 26, 2018
Large-scale neural recordings have established that the transformation of sensory stimuli into motor outputs relies on low-dimensional dynamics at the population level, while individual neurons exhibit complex selectivity. Understanding how low-dimen...
Neural Networks, Computer Normal Distribution Computational Biology Nonlinear Dynamics
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Spiking networks as efficient distributed controllers.

Biological cybernetics Jun 27, 2018
In the brain, networks of neurons produce activity that is decoded into perceptions and actions. How the dynamics of neural networks support this decoding is a major scientific question. That is, while we understand the basic mechanisms by which neur...
Neural Networks, Computer Algorithms Nerve Net Computer Simulation Neurons Models, Neurological Humans Nonlinear Dynamics Brain Animals Action Potentials Neural Pathways
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Perturbation Theory/Machine Learning Model of ChEMBL Data for Dopamine Targets: Docking, Synthesis, and Assay of New l-Prolyl-l-leucyl-glycinamide Peptidomimetics.

ACS chemical neuroscience Jun 25, 2018
Predicting drug-protein interactions (DPIs) for target proteins involved in dopamine pathways is a very important goal in medicinal chemistry. We can tackle this problem using Molecular Docking or Machine Learning (ML) models for one specific protein...
Allosteric Regulation MSH Release-Inhibiting Hormone Peptidomimetics Receptors, Dopamine D2 Deep Learning Models, Molecular Databases, Chemical Dopamine Nonlinear Dynamics Software Molecular Docking Simulation Neural Networks, Computer Humans Machine Learning
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Distributed zero-sum differential game for multi-agent systems in strict-feedback form with input saturation and output constraint.

Neural networks : the official journal of the International Neural Network Society Jun 25, 2018
This paper investigates the distributed differential game tracking problem for nonlinear multi-agent systems with output constraint under a fixed directed graph. Each follower can be taken as strict-feedback structure with uncertain nonlinearities an...
Neural Networks, Computer Uncertainty Algorithms Feedback Computer Simulation Nonlinear Dynamics
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Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities.

Neural networks : the official journal of the International Neural Network Society Jun 1, 2018
This study addresses the issue of the adaptive output tracking control for a category of uncertain nonstrict-feedback delayed incommensurate fractional-order systems in the presence of nonaffine structures, unmeasured pseudo-states, unknown control d...
Neural Networks, Computer Nonlinear Dynamics Feedback
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Pattern analysis of computer keystroke time series in healthy control and early-stage Parkinson's disease subjects using fuzzy recurrence and scalable recurrence network features.

Journal of neuroscience methods May 30, 2018
BACKGROUND: Identifying patients with early stages of Parkinson's disease (PD) in a home environment is an important area of neurological disorder research, because it is of therapeutic and economic benefits to optimal intervention and management of ...
Gait Disorders, Neurologic Nonlinear Dynamics Recurrence Male Machine Learning Parkinson Disease Cohort Studies Humans Female Fuzzy Logic Predictive Value of Tests Neural Networks, Computer
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Adaptive critic designs for optimal control of uncertain nonlinear systems with unmatched interconnections.

Neural networks : the official journal of the International Neural Network Society May 26, 2018
In this paper, we develop a novel optimal control strategy for a class of uncertain nonlinear systems with unmatched interconnections. To begin with, we present a stabilizing feedback controller for the interconnected nonlinear systems by modifying a...
Neural Networks, Computer Nonlinear Dynamics Feedback Uncertainty
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