AIMC Topic:
Computer Simulation

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Multiple Mittag-Leffler stability of fractional-order competitive neural networks with Gaussian activation functions.

Neural networks : the official journal of the International Neural Network Society Sep 21, 2018
In this paper, we explore the coexistence and dynamical behaviors of multiple equilibrium points for fractional-order competitive neural networks with Gaussian activation functions. By virtue of the geometrical properties of activation functions, the...
Normal Distribution Algorithms Computer Simulation Neurons Neural Networks, Computer
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In Silico Prediction of Blood-Brain Barrier Permeability of Compounds by Machine Learning and Resampling Methods.

ChemMedChem Sep 21, 2018
The blood-brain barrier (BBB) as a part of absorption protects the central nervous system by separating the brain tissue from the bloodstream. In recent years, BBB permeability has become a critical issue in chemical ADMET prediction, but almost all ...
Algorithms Computer Simulation Models, Chemical Blood-Brain Barrier Organic Chemicals Support Vector Machine Permeability Databases, Chemical
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Initial state perturbations as a validation method for data-driven fuzzy models of cellular networks.

BMC bioinformatics Sep 21, 2018
BACKGROUND: Data-driven methods that automatically learn relations between attributes from given data are a popular tool for building mathematical models in computational biology. Since measurements are prone to errors, approaches dealing with uncert...
Humans Computer Simulation Fuzzy Logic Gene Regulatory Networks Computational Biology Systems Biology
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Bio-inspired visual self-localization in real world scenarios using Slow Feature Analysis.

PloS one Sep 21, 2018
We present a biologically motivated model for visual self-localization which extracts a spatial representation of the environment directly from high dimensional image data by employing a single unsupervised learning rule. The resulting representation...
Unsupervised Machine Learning Animals Neural Networks, Computer Robotics User-Computer Interface Models, Neurological Hippocampus Models, Psychological Orientation, Spatial Computer Simulation
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Adapting artificial neural networks to a specific driver enhances detection and prediction of drowsiness.

Accident; analysis and prevention Sep 20, 2018
Monitoring car drivers for drowsiness is crucial but challenging. The high inter-individual variability observed in measurements raises questions about the accuracy of the drowsiness detection process. In this study, we sought to enhance the performa...
Humans Neural Networks, Computer Machine Learning Computer Simulation Wakefulness Computer Systems Automobile Driving Female Male Sleepiness
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Multi-stage optimization of a deep model: A case study on ground motion modeling.

PloS one Sep 19, 2018
In this study, a multi-stage optimization procedure is proposed to develop deep neural network models which results in a powerful deep learning pipeline called intelligent deep learning (iDeepLe). The proposed pipeline is then evaluated by a challeng...
Data Analysis Algorithms Computer Simulation Neural Networks, Computer Machine Learning Deep Learning Motion
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Abstract concept learning in a simple neural network inspired by the insect brain.

PLoS computational biology Sep 17, 2018
The capacity to learn abstract concepts such as 'sameness' and 'difference' is considered a higher-order cognitive function, typically thought to be dependent on top-down neocortical processing. It is therefore surprising that honey bees apparantly h...
Bees Behavior, Animal Mushroom Bodies Odorants Probability Computer Simulation Learning Animals Cognition Models, Neurological Machine Learning Software Brain Neural Networks, Computer
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Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings.

Journal of neural engineering Sep 13, 2018
OBJECTIVE: We sought to test the performance of three strategies for binary classification (logistic regression, support vector machines, and deep learning) for the problem of predicting successful episodic memory encoding using direct brain recordin...
Theta Rhythm Mental Recall Electrodes, Implanted Support Vector Machine Predictive Value of Tests Electroencephalography Stochastic Processes Memory, Episodic Humans Computer Simulation Algorithms Deep Learning Logistic Models
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Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.

IEEE transactions on medical imaging Sep 12, 2018
PET image reconstruction is challenging due to the ill-poseness of the inverse problem and limited number of detected photons. Recently, the deep neural networks have been widely and successfully used in computer vision tasks and attracted growing in...
Image Processing, Computer-Assisted Positron-Emission Tomography Likelihood Functions Humans Neural Networks, Computer Computer Simulation
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Resilience of and recovery strategies for weighted networks.

PloS one Sep 11, 2018
The robustness and resilience of complex networks have been widely studied and discussed in both research and industry because today, the diversity of system components and the complexity of the connection between units are increasingly influencing t...
Systems Theory Computer Simulation Models, Theoretical Computer Communication Networks Neural Networks, Computer
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