AIMC Topic:
Computer Simulation

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Roles for globus pallidus externa revealed in a computational model of action selection in the basal ganglia.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2018
The basal ganglia are considered vital to action selection - a hypothesis supported by several biologically plausible computational models. Of the several subnuclei of the basal ganglia, the globus pallidus externa (GPe) has been thought of largely a...
Animals Parkinson Disease Neurons Basal Ganglia Globus Pallidus Humans Neural Networks, Computer Computer Simulation
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Learning SPECT detector angular response function with neural network for accelerating Monte-Carlo simulations.

Physics in medicine and biology Oct 17, 2018
A method to speed up [Formula: see text] simulations of single photon emission computed tomography (SPECT) imaging is proposed. It uses an artificial neural network (ANN) to learn the angular response function (ARF) of a collimator-detector system. T...
Humans Neural Networks, Computer Phantoms, Imaging Tomography, Emission-Computed, Single-Photon Photons Computer Simulation Time Factors Monte Carlo Method
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QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments.

PloS one Oct 17, 2018
BACKGROUND: Over the past decade, machine learning techniques have revolutionized how research and science are done, from designing new materials and predicting their properties to data mining and analysis to assisting drug discovery to advancing cyb...
Quantum Dots Semiconductors Programming Languages Algorithms Reproducibility of Results Neural Networks, Computer Automation Data Mining Databases, Factual Computer Security Machine Learning Drug Discovery Computer Simulation Computational Biology
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A Hybrid Model for Forecasting Sunspots Time Series Based on Variational Mode Decomposition and Backpropagation Neural Network Improved by Firefly Algorithm.

Computational intelligence and neuroscience Oct 14, 2018
The change of the number of sunspots has a great impact on the Earth's climate, agriculture, communications, natural disasters, and other aspects, so it is very important to predict the number of sunspots. Aiming at the chaotic characteristics of mon...
Solar Activity Computer Simulation Neural Networks, Computer Animals Forecasting Fireflies
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Accurate prediction of protein-lncRNA interactions by diffusion and HeteSim features across heterogeneous network.

BMC bioinformatics Oct 11, 2018
BACKGROUND: Identifying the interactions between proteins and long non-coding RNAs (lncRNAs) is of great importance to decipher the functional mechanisms of lncRNAs. However, current experimental techniques for detection of lncRNA-protein interaction...
RNA, Long Noncoding Computer Simulation RNA-Binding Proteins Databases, Genetic Neural Networks, Computer
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Reachable set estimation for Markovian jump neural networks with time-varying delay.

Neural networks : the official journal of the International Neural Network Society Sep 29, 2018
This paper is concerned with the reachable set estimation for Markovian jump neural networks with time-varying delay and bounded peak inputs. The objective is to find a description of a reachable set that is containing all reachable states starting f...
Neural Networks, Computer Algorithms Computer Simulation Time Factors Markov Chains
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Variable importance for sustaining macrophyte presence via random forests: data imputation and model settings.

Scientific reports Sep 28, 2018
Data sets plagued with missing data and performance-affecting model parameters represent recurrent issues within the field of data mining. Via random forests, the influence of data reduction, outlier and correlated variable removal and missing data i...
Nuphar Ecosystem Machine Learning Data Mining Models, Biological Computer Simulation Probability Temperature Hydrogen-Ion Concentration Araceae
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Prediction of methionine oxidation risk in monoclonal antibodies using a machine learning method.

mAbs Sep 25, 2018
Monoclonal antibodies (mAbs) have become a major class of protein therapeutics that target a spectrum of diseases ranging from cancers to infectious diseases. Similar to any protein molecule, mAbs are susceptible to chemical modifications during the ...
Machine Learning Computer Simulation Protein Binding Humans Oxidation-Reduction Kinetics Antigens Treatment Outcome Antineoplastic Agents, Immunological Antibodies, Monoclonal Methionine Complementarity Determining Regions
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Deep learning-based transcriptome data classification for drug-target interaction prediction.

BMC genomics Sep 24, 2018
BACKGROUND: The ability to predict the interaction of drugs with target proteins is essential to research and development of drug. However, the traditional experimental paradigm is costly, and previous in silico prediction paradigms have been impeded...
Drug Interactions Molecular Targeted Therapy Computer Simulation Drug Discovery Machine Learning Gene Expression Profiling Humans Transcriptome Algorithms Databases, Factual Models, Theoretical Proteins
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The stability of memristive multidirectional associative memory neural networks with time-varying delays in the leakage terms via sampled-data control.

PloS one Sep 24, 2018
In this paper, we propose a new model of memristive multidirectional associative memory neural networks, which concludes the time-varying delays in leakage terms via sampled-data control. We use the input delay method to turn the sampling system into...
Models, Psychological Mathematical Concepts Systems Theory Association Models, Neurological Nerve Net Memory Humans Computer Simulation Neural Networks, Computer Time Factors Brain
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