AIMC Topic: Computer Simulation

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Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks.

Journal of computational neuroscience Sep 2, 2016
A large body of experimental and theoretical work on neural coding suggests that the information stored in brain circuits is represented by time-varying patterns of neural activity. Reservoir computing, where the activity of a recurrently connected p...
Brain Computer Simulation Animals Humans Neural Networks, Computer Neurons Nonlinear Dynamics Synapses Models, Neurological Action Potentials
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Attack Vulnerability of Network Controllability.

PloS one Sep 2, 2016
Controllability of complex networks has attracted much attention, and understanding the robustness of network controllability against potential attacks and failures is of practical significance. In this paper, we systematically investigate the attack...
Neural Networks, Computer Computer Simulation Models, Theoretical Algorithms
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Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2016
This paper presents theoretical results on global exponential synchronization of multiple memristive neural networks in the presence of external noise by means of two types of distributed pinning control. The multiple memristive neural networks are c...
Algorithms Neural Networks, Computer Computer Simulation Nonlinear Dynamics Diffusion Random Allocation
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hMuLab: A Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression.

IEEE/ACM transactions on computational biology and bioinformatics Aug 31, 2016
Many biomedical classification problems are multi-label by nature, e.g., a gene involved in a variety of functions and a patient with multiple diseases. The majority of existing classification algorithms assumes each sample with only one class label,...
Pattern Recognition, Automated Regression Analysis Linear Models Machine Learning Algorithms Computer Simulation
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Coexistence and local μ-stability of multiple equilibrium points for memristive neural networks with nonmonotonic piecewise linear activation functions and unbounded time-varying delays.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2016
In this paper, the coexistence and dynamical behaviors of multiple equilibrium points are discussed for a class of memristive neural networks (MNNs) with unbounded time-varying delays and nonmonotonic piecewise linear activation functions. By means o...
Linear Models Time Factors Neurons Algorithms Computer Simulation Neural Networks, Computer
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Gait-Event-Based Synchronization Method for Gait Rehabilitation Robots via a Bioinspired Adaptive Oscillator.

IEEE transactions on bio-medical engineering Aug 30, 2016
In the field of gait rehabilitation robotics, achieving human-robot synchronization is very important. In this paper, a novel human-robot synchronization method using gait event information is proposed. This method includes two steps. First, seven ga...
Computer Simulation Treatment Outcome Equipment Design Humans Equipment Failure Analysis Gait Disorders, Neurologic Biomimetic Materials Models, Biological Exoskeleton Device Robotics Neurological Rehabilitation Therapy, Computer-Assisted Oscillometry
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H state estimation for memristive neural networks with time-varying delays: The discrete-time case.

Neural networks : the official journal of the International Neural Network Society Aug 30, 2016
This paper investigates the H state estimation problem for a class of discrete-time memristive neural networks (DMNNs) with time-varying delays. For the sake of coping with the switched weight matrices, the DMNNs are recast into a tractable model by ...
Algorithms Computer Simulation Models, Theoretical Time Factors Neural Networks, Computer
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Can computational efficiency alone drive the evolution of modularity in neural networks?

Scientific reports Aug 30, 2016
Some biologists have abandoned the idea that computational efficiency in processing multipart tasks or input sets alone drives the evolution of modularity in biological networks. A recent study confirmed that small modular (neural) networks are relat...
Evolution, Molecular Neural Networks, Computer Computer Simulation
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Modeling and simulation of xylitol production in bioreactor by Debaryomyces nepalensis NCYC 3413 using unstructured and artificial neural network models.

Bioresource technology Aug 27, 2016
This study examines the use of unstructured kinetic model and artificial neural networks as predictive tools for xylitol production by Debaryomyces nepalensis NCYC 3413 in bioreactor. An unstructured kinetic model was proposed in order to assess the ...
Models, Theoretical Bioreactors Computer Simulation Temperature Batch Cell Culture Techniques Saccharomycetales Xylitol Kinetics Hydrogen-Ion Concentration Neural Networks, Computer
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An Efficient Data Partitioning to Improve Classification Performance While Keeping Parameters Interpretable.

PloS one Aug 26, 2016
Supervised machine learning methods typically require splitting data into multiple chunks for training, validating, and finally testing classifiers. For finding the best parameters of a classifier, training and validation are usually carried out with...
Models, Theoretical Humans Electroencephalography Artificial Intelligence Computer Simulation Software Pattern Recognition, Automated Reproducibility of Results Algorithms Machine Learning Electrophysiology
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