AIMC Topic: Nonlinear Dynamics

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A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals.

Computational and mathematical methods in medicine Apr 7, 2020
The detection of recorded epileptic seizure activity in electroencephalogram (EEG) segments is crucial for the classification of seizures. Manual recognition is a time-consuming and laborious process that places a heavy burden on neurologists, and he...
Nonlinear Dynamics Deep Learning Computational Biology Seizures Models, Statistical Signal Processing, Computer-Assisted Electroencephalography Humans Neural Networks, Computer Databases, Factual Diagnosis, Computer-Assisted Models, Neurological Algorithms
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Nonlinear dynamics based machine learning: Utilizing dynamics-based flexibility of nonlinear circuits to implement different functions.

PloS one Mar 3, 2020
The core element of machine learning is a flexible, universal function approximator that can be trained and fit into the data. One of the main challenges in modern machine learning is to understand the role of nonlinearity and complexity in these uni...
Machine Learning Nonlinear Dynamics
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Chaos in fractional-order discrete neural networks with application to image encryption.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2020
In this paper, a three-dimensional fractional-order (FO) discrete Hopfield neural network (FODHNN) in the left Caputo discrete delta's sense is proposed, the dynamic behavior and synchronization of FODHNN are studied, and the system is applied to ima...
Humans Nonlinear Dynamics Neural Networks, Computer Pattern Recognition, Automated Algorithms Computer Security
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Control of Functional Electrical Stimulation Systems Using Simultaneous Pulse Width, Amplitude, and Frequency Modulations.

Neuromodulation : journal of the International Neuromodulation Society Feb 21, 2020
BACKGROUND: One significant challenge of developing a controller for functional electrical stimulation systems is the time-variant nonlinear dynamics of the neuromusculoskeletal system. In the conventional methods, the stimulation intensity is adjust...
Paraplegia Humans Fuzzy Logic Electric Stimulation Nonlinear Dynamics Electric Stimulation Therapy
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Adaptive tracking control of an unmanned aerial system based on a dynamic neural-fuzzy disturbance estimator.

ISA transactions Feb 17, 2020
The main goal of this study is developing an adaptive controller which can solve the trajectory tracking for a class of quadcopter unmanned aerial system (UAS), namely a quadrotor. The control design introduces a new paradigm for adaptive controllers...
Algorithms Computer Simulation Fuzzy Logic Neural Networks, Computer Nonlinear Dynamics Radio Robotics Aircraft
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Identifying the pulsed neuron networks' structures by a nonlinear Granger causality method.

BMC neuroscience Feb 12, 2020
BACKGROUND: It is a crucial task of brain science researches to explore functional connective maps of Biological Neural Networks (BNN). The maps help to deeply study the dominant relationship between the structures of the BNNs and their network funct...
Neural Networks, Computer Algorithms Brain Humans Nonlinear Dynamics Multivariate Analysis Brain Mapping Neural Pathways Neurons Models, Neurological
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Robust min-max optimal control design for systems with uncertain models: A neural dynamic programming approach.

Neural networks : the official journal of the International Neural Network Society Jan 31, 2020
The design of an artificial neural network (ANN) based sub-optimal controller to solve the finite-horizon optimization problem for a class of systems with uncertainties is the main outcome of this study. The optimization problem considers a convex pe...
Computer Simulation Nonlinear Dynamics Uncertainty Humans Neural Networks, Computer
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Dynamics of unidirectionally-coupled ring neural network with discrete and distributed delays.

Journal of mathematical biology Jan 30, 2020
In this paper, we consider a ring neural network with one-way distributed-delay coupling between the neurons and a discrete delayed self-feedback. In the general case of the distribution kernels, we are able to find a subset of the amplitude death re...
Neural Networks, Computer Computer Simulation Models, Neurological Neurons Electrophysiological Phenomena Animals Humans Nerve Net Nonlinear Dynamics Mathematical Concepts Linear Models Feedback, Physiological
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Improved value iteration for neural-network-based stochastic optimal control design.

Neural networks : the official journal of the International Neural Network Society Jan 28, 2020
In this paper, a novel value iteration adaptive dynamic programming (ADP) algorithm is presented, which is called an improved value iteration ADP algorithm, to obtain the optimal policy for discrete stochastic processes. In the improved value iterati...
Nonlinear Dynamics Stochastic Processes Neural Networks, Computer Time Factors
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An efficient analytical reduction of detailed nonlinear neuron models.

Nature communications Jan 15, 2020
Detailed conductance-based nonlinear neuron models consisting of thousands of synapses are key for understanding of the computational properties of single neurons and large neuronal networks, and for interpreting experimental results. Simulations of ...
alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid Synapses gamma-Aminobutyric Acid Dendrites N-Methylaspartate Neural Networks, Computer Pyramidal Cells Neurons Animals Calcium Spatio-Temporal Analysis Mice Algorithms Nonlinear Dynamics Models, Neurological
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