AIMC Topic:
Computer Simulation

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On Ev-Degree and Ve-Degree Topological Properties of Tickysim Spiking Neural Network.

Computational intelligence and neuroscience Jun 2, 2019
Topological indices are indispensable tools for analyzing networks to understand the underlying topology of these networks. Spiking neural network architecture (SpiNNaker or TSNN) is a million-core calculating engine which aims at simulating the beha...
Neurons Neural Networks, Computer Nerve Net Computer Simulation Models, Neurological
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Development and evaluation of a deep learning approach for modeling seasonality and trends in hand-foot-mouth disease incidence in mainland China.

Scientific reports May 29, 2019
The high incidence, seasonal pattern and frequent outbreaks of hand, foot, and mouth disease (HFMD) represent a threat for millions of children in mainland China. And advanced response is being used to address this. Here, we aimed to model time serie...
Humans Forecasting Seasons Datasets as Topic Epidemics Epidemiological Monitoring Hand, Foot and Mouth Disease Incidence Child, Preschool Models, Statistical Computer Simulation Deep Learning China
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Physically informed artificial neural networks for atomistic modeling of materials.

Nature communications May 28, 2019
Large-scale atomistic computer simulations of materials heavily rely on interatomic potentials predicting the energy and Newtonian forces on atoms. Traditional interatomic potentials are based on physical intuition but contain few adjustable paramete...
Monte Carlo Method Physics Materials Science Machine Learning Computer Simulation Molecular Dynamics Simulation Neural Networks, Computer
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An improved adaptive memetic differential evolution optimization algorithms for data clustering problems.

PloS one May 28, 2019
The performance of data clustering algorithms is mainly dependent on their ability to balance between the exploration and exploitation of the search process. Although some data clustering algorithms have achieved reasonable quality solutions for some...
Computer Simulation Machine Learning Models, Theoretical Cluster Analysis
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Artificial intelligence, robotics and cyborgs: The future of research and technological development in ophthalmology.

Archivos de la Sociedad Espanola de Oftalmologia May 27, 2019
Inventions Humans Biomedical Engineering Big Data Artificial Intelligence Genetic Engineering Bionics Robotics Forecasting Computer Simulation Ophthalmology
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Spatiotemporal discrimination in attractor networks with short-term synaptic plasticity.

Journal of computational neuroscience May 27, 2019
We demonstrate that a randomly connected attractor network with dynamic synapses can discriminate between similar sequences containing multiple stimuli suggesting such networks provide a general basis for neural computations in the brain. The network...
Neurons Synapses Neural Pathways Cognition Neuronal Plasticity Decision Making Mental Recall Electrophysiological Phenomena Long-Term Synaptic Depression Humans Neural Networks, Computer Machine Learning Algorithms Computer Simulation Animals
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Local online learning in recurrent networks with random feedback.

eLife May 24, 2019
Recurrent neural networks (RNNs) enable the production and processing of time-dependent signals such as those involved in movement or working memory. Classic gradient-based algorithms for training RNNs have been available for decades, but are inconsi...
Neural Networks, Computer Algorithms Brain Memory, Short-Term Computer Simulation Education, Distance Learning Chromosome Pairing Feedback Time Factors Humans Databases, Genetic Models, Neurological
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Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes.

Evolutionary computation May 23, 2019
Selection hyper-heuristics (HHs) are randomised search methodologies which choose and execute heuristics during the optimisation process from a set of low-level heuristics. A machine learning mechanism is generally used to decide which low-level heur...
Search Engine Biological Evolution Computer Heuristics Machine Learning Algorithms Computer Simulation
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Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data.

PloS one May 23, 2019
BACKGROUND: Gene shaving (GS) is an essential and challenging tools for biomedical researchers due to the large number of genes in human genome and the complex nature of biological networks. Most GS methods are not applicable to non-linear and multi-...
Gene Expression Profiling Humans Oligonucleotide Array Sequence Analysis Colonic Neoplasms Computational Biology Artificial Intelligence Software Nonlinear Dynamics Machine Learning Algorithms False Positive Reactions Area Under Curve Genetic Techniques Computer Simulation
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Towards the automated economic assessment of newborn screening for rare diseases.

Journal of biomedical informatics May 22, 2019
OBJECTIVE: Economic assessments of newborn screening programs for rare diseases involve the use of models and require huge efforts to synthesize information from different sources. Sharing and automatically or semi-automatically reusing this informat...
Humans Databases, Factual Computer Simulation Neonatal Screening Rare Diseases Infant, Newborn Cost-Benefit Analysis Biological Ontologies
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