AIMC Topic: Computer Simulation

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Noise-robust unsupervised spike sorting based on discriminative subspace learning with outlier handling.

Journal of neural engineering Feb 15, 2017
OBJECTIVE: Spike sorting is a fundamental preprocessing step for many neuroscience studies which rely on the analysis of spike trains. Most of the feature extraction and dimensionality reduction techniques that have been used for spike sorting give a...
Sensitivity and Specificity Models, Neurological Action Potentials Models, Statistical Discriminant Analysis Artifacts Pattern Recognition, Automated Signal-To-Noise Ratio Machine Learning Algorithms Computer Simulation Reproducibility of Results Humans
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A review of compliant transmission mechanisms for bio-inspired flapping-wing micro air vehicles.

Bioinspiration & biomimetics Feb 15, 2017
Flapping-wing micro air vehicles (FWMAVs) are a class of unmanned aircraft that imitate flight characteristics of natural organisms such as birds, bats, and insects, in order to achieve maximum flight efficiency and manoeuvrability. Designing proper ...
Computer Simulation Animals Robotics Insecta Biomimetic Materials Flight, Animal Wings, Animal Equipment Design Aircraft Models, Biological Biomimetics
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A Computational Model of Perceptual and Mnemonic Deficits in Medial Temporal Lobe Amnesia.

Journal of cognitive neuroscience Feb 14, 2017
Damage to the medial temporal lobe (MTL) has long been known to impair declarative memory, and recent evidence suggests that it also impairs visual perception. A theory termed the representational-hierarchical account explains such impairments by ass...
Temporal Lobe Recognition, Psychology Discrimination, Psychological Amnesia Humans Neural Networks, Computer Computer Simulation Visual Perception
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H state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels.

Neural networks : the official journal of the International Neural Network Society Feb 13, 2017
In this paper, the H state estimation problem is investigated for a class of uncertain discrete-time neural networks subject to infinitely distributed delays and fading channels. Randomly occurring uncertainties (ROUs) are introduced to reflect the r...
Models, Theoretical Random Allocation Uncertainty Neural Networks, Computer Algorithms Computer Simulation Time Factors
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Classifier transfer with data selection strategies for online support vector machine classification with class imbalance.

Journal of neural engineering Feb 13, 2017
OBJECTIVE: Classifier transfers usually come with dataset shifts. To overcome dataset shifts in practical applications, we consider the limitations in computational resources in this paper for the adaptation of batch learning algorithms, like the sup...
Reproducibility of Results Sensitivity and Specificity Support Vector Machine Models, Neurological Humans Algorithms Brain Computer Simulation Online Systems Electroencephalography Data Mining Pattern Recognition, Automated Brain-Computer Interfaces
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Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Atrial fibrillation (AF) is a common cardiac rhythm disorder, which increases the risk of ischemic stroke and other thromboembolism (TE). Accurate prediction of TE is highly valuable for early intervention to AF patients. However, the prediction perf...
Area Under Curve Prognosis Registries Atrial Fibrillation Humans Female Stroke Risk Factors Machine Learning Brain Ischemia Models, Biological Male Computer Simulation Thromboembolism
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Interpretable Deep Models for ICU Outcome Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Exponential surge in health care data, such as longitudinal data from electronic health records (EHR), sensor data from intensive care unit (ICU), etc., is providing new opportunities to discover meaningful data-driven characteristics and patterns of...
Electronic Health Records Intensive Care Units, Pediatric Models, Theoretical Humans Acute Lung Injury Neural Networks, Computer Machine Learning Computer Simulation Prognosis
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Effect of body weight support variation on muscle activities during robot assisted gait: a dynamic simulation study.

Computer methods in biomechanics and biomedical engineering Feb 9, 2017
BACKGROUND AND OBJECTIVES: While body weight support (BWS) intonation is vital during conventional gait training of neurologically challenged subjects, it is important to evaluate its effect during robot assisted gait training. In the present researc...
Torque Hip Joint Ankle Joint Orthotic Devices Robotics Knee Joint Computer Simulation Gait Biomechanical Phenomena Body Weight Humans Models, Theoretical Muscle, Skeletal
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Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.

Computer methods and programs in biomedicine Feb 9, 2017
BACKGROUND AND OBJECTIVES: Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can d...
Humans Ethylamines Algorithms Toluene Safety-Based Drug Withdrawals Patient Safety Area Under Curve Computer Simulation Drug Monitoring Linear Models Pharmaceutical Preparations Pattern Recognition, Automated Data Mining False Positive Reactions Sensitivity and Specificity Drug Approval Benzene Risk Support Vector Machine Product Surveillance, Postmarketing Carbon Nervous System
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Machine learning based compartment models with permeability for white matter microstructure imaging.

NeuroImage Feb 8, 2017
Some microstructure parameters, such as permeability, remain elusive because mathematical models that express their relationship to the MR signal accurately are intractable. Here, we propose to use computational models learned from simulations to est...
Echo-Planar Imaging Multiple Sclerosis Image Interpretation, Computer-Assisted Monte Carlo Method White Matter Computer Simulation Female Young Adult Adult Male Middle Aged Models, Theoretical Permeability Humans Machine Learning Brain
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