AIMC Topic: Periodicity

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Global O(t(-α)) stability and global asymptotical periodicity for a non-autonomous fractional-order neural networks with time-varying delays.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2015
The present paper studies global O(t(-α)) stability and global asymptotical periodicity for a non-autonomous fractional-order neural networks with time-varying delays (FDNN). Firstly, some sufficient conditions are established to ensure that a non-au...
Neural Networks, Computer Time Factors Models, Statistical Algorithms Periodicity
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Analysis of short-term heart rate and diastolic period variability using a refined fuzzy entropy method.

Biomedical engineering online Jul 1, 2015
BACKGROUND: Heart rate variability (HRV) has been widely used in the non-invasive evaluation of cardiovascular function. Recent studies have also attached great importance to the cardiac diastolic period variability (DPV) examination. Short-term vari...
Photoplethysmography Electrocardiography Fuzzy Logic Male Middle Aged Signal-To-Noise Ratio Statistics, Nonparametric Stochastic Processes Heart Rate Nonlinear Dynamics Algorithms Computer Simulation Aged Adult Female Humans Periodicity Diastole Models, Cardiovascular Coronary Stenosis Normal Distribution Entropy
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Global asymptotical ω-periodicity of a fractional-order non-autonomous neural networks.

Neural networks : the official journal of the International Neural Network Society May 6, 2015
We study the global asymptotic ω-periodicity for a fractional-order non-autonomous neural networks. Firstly, based on the Caputo fractional-order derivative it is shown that ω-periodic or autonomous fractional-order neural networks cannot generate ex...
Time Factors Periodicity Neural Networks, Computer
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Almost periodic solutions for a memristor-based neural networks with leakage, time-varying and distributed delays.

Neural networks : the official journal of the International Neural Network Society Apr 23, 2015
In this paper, we study the existence and global exponential stability of almost periodic solution for memristor-based neural networks with leakage, time-varying and distributed delays. Using a new Lyapunov function method, we prove that this delayed...
Periodicity Humans Neural Networks, Computer Time Factors
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Periodic solution for state-dependent impulsive shunting inhibitory CNNs with time-varying delays.

Neural networks : the official journal of the International Neural Network Society Apr 21, 2015
In this paper, we consider existence and global exponential stability of periodic solution for state-dependent impulsive shunting inhibitory cellular neural networks with time-varying delays. By means of B-equivalence method, we reduce these state-de...
Periodicity Humans Time Factors Neural Inhibition Neural Networks, Computer
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Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays.

Neural networks : the official journal of the International Neural Network Society Mar 12, 2015
In recent years, complex-valued recurrent neural networks have been developed and analysed in-depth in view of that they have good modelling performance for some applications involving complex-valued elements. In implementing continuous-time dynamica...
Neural Networks, Computer Time Factors Periodicity
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C1-almost periodic solutions of BAM neural networks with time-varying delays on time scales.

TheScientificWorldJournal Jan 19, 2015
On a new type of almost periodic time scales, a class of BAM neural networks is considered. By employing a fixed point theorem and differential inequality techniques, some sufficient conditions ensuring the existence and global exponential stability ...
Periodicity Time Factors Neural Networks, Computer Models, Theoretical Artificial Intelligence Nonlinear Dynamics
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Decomposition of surface EMG signals from cyclic dynamic contractions.

Journal of neurophysiology Dec 24, 2014
Over the past 3 decades, various algorithms used to decompose the electromyographic (EMG) signal into its constituent motor unit action potentials (MUAPs) have been reported. All are limited to decomposing EMG signals from isometric contraction. In t...
Adult Isometric Contraction Male Electromyography Middle Aged Humans Periodicity Machine Learning Arm Female
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Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow.

International journal of neural systems Dec 4, 2014
In this paper, we present general methods that can be used to explore the information processing potential of a medium composed of oscillating (self-exciting) droplets. Networks of Belousov-Zhabotinsky (BZ) droplets seem especially interesting as che...
Algorithms Computer Simulation Diffusion Neural Networks, Computer Entropy Information Theory Periodicity Video Recording Linear Models Microfluidics
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Time-frequency modulation of ERD and EEG coherence in robot-assisted hand performance.

Brain topography May 17, 2014
A better understanding of cortical modifications related to movement preparation and execution after robot-assisted training could aid in refining rehabilitation therapy protocols for stroke patients. Electroencephalography (EEG) modifications of cor...
Electroencephalography Signal Processing, Computer-Assisted Motion Motor Activity Hand Adult Male Robotics Brain Female Humans Imagination Periodicity
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