AIMC Topic:
Computer Simulation

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DeepC: predicting 3D genome folding using megabase-scale transfer learning.

Nature methods Oct 12, 2020
Predicting the impact of noncoding genetic variation requires interpreting it in the context of three-dimensional genome architecture. We have developed deepC, a transfer-learning-based deep neural network that accurately predicts genome folding from...
Humans Neural Networks, Computer Models, Genetic Base Sequence Computer Simulation Genomic Structural Variation Genomics Genome, Human Chromatin CCCTC-Binding Factor
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Clearness of operating field: a surrogate for surgical skills on in vivo clinical data.

International journal of computer assisted radiology and surgery Oct 12, 2020
PURPOSE: Automatic surgical skill assessment is an emerging field beneficial to both efficiency and quality of surgical education and practice. Prior works largely evaluate skills on elementary tasks performed in the simulation laboratory, which cann...
Workflow Operating Rooms Computer Simulation Surgeons Clinical Competence Humans Neural Networks, Computer
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The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks.

PLoS computational biology Oct 12, 2020
Learning in neuronal networks has developed in many directions, in particular to reproduce cognitive tasks like image recognition and speech processing. Implementations have been inspired by stereotypical neuronal responses like tuning curves in the ...
Neurons Databases, Factual Computer Simulation Humans Learning Computational Biology Neural Networks, Computer Models, Neurological Animals Algorithms Image Processing, Computer-Assisted
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Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints.

ISA transactions Oct 8, 2020
This paper proposes a neural network-based model predictive control (MPC) method for robotic manipulators with model uncertainty and input constraints. In the presented NN-based MPC structure, two groups of radial basis function neural networks (RBFN...
Uncertainty Predictive Value of Tests Robotics Robotic Surgical Procedures Algorithms Neural Networks, Computer Computer Simulation Machine Learning Models, Theoretical
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BrainNET: Inference of Brain Network Topology Using Machine Learning.

Brain connectivity Oct 8, 2020
To develop a new functional magnetic resonance image (fMRI) network inference method, BrainNET, that utilizes an efficient machine learning algorithm to quantify contributions of various regions of interests (ROIs) in the brain to a specific ROI. B...
Humans Machine Learning Algorithms Child Sensitivity and Specificity Attention Deficit Disorder with Hyperactivity Brain Image Processing, Computer-Assisted Male Brain Mapping Computer Simulation Magnetic Resonance Imaging Adolescent Neural Pathways Female
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Sequence-to-function deep learning frameworks for engineered riboregulators.

Nature communications Oct 7, 2020
While synthetic biology has revolutionized our approaches to medicine, agriculture, and energy, the design of completely novel biological circuit components beyond naturally-derived templates remains challenging due to poorly understood design rules....
Structure-Activity Relationship Natural Language Processing Datasets as Topic Synthetic Biology Computer Simulation Deep Learning Models, Genetic Mutagenesis Biotechnology Genetic Engineering Riboswitch Base Sequence Genome, Human Genome, Viral Humans
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The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning.

PloS one Oct 7, 2020
To detect false data injection attacks (FDIAs) in power grid reconstruction and solve the problem of high data dimension and bad abnormal data processing in the power system, thereby achieving safe and stable operation of the power grid system, this ...
China Computer Security Electric Power Supplies Power Plants Humans Algorithms Neural Networks, Computer Databases, Factual Machine Learning Computer Simulation
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Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination.

NeuroImage Oct 6, 2020
The intra-axonal water exchange time (τ), a parameter associated with axonal permeability, could be an important biomarker for understanding and treating demyelinating pathologies such as Multiple Sclerosis. Diffusion-Weighted MRI (DW-MRI) is sensiti...
Microscopy, Electron Monte Carlo Method White Matter Demyelinating Diseases Disease Models, Animal Permeability Axons Cuprizone Diffusion Magnetic Resonance Imaging Corpus Callosum Monoamine Oxidase Inhibitors Machine Learning Image Processing, Computer-Assisted Mice Computer Simulation Animals
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Human interaction behavior modeling using Generative Adversarial Networks.

Neural networks : the official journal of the International Neural Network Society Sep 30, 2020
Recently, considerable research has focused on personal assistant robots, and robots capable of rich human-like communication are expected. Among humans, non-verbal elements contribute to effective and dynamic communication. However, people use a wid...
Gestures Humans Neural Networks, Computer Robotics Computer Simulation
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Cyclic transitions between higher order motifs underlie sustained asynchronous spiking in sparse recurrent networks.

PLoS computational biology Sep 30, 2020
A basic-yet nontrivial-function which neocortical circuitry must satisfy is the ability to maintain stable spiking activity over time. Stable neocortical activity is asynchronous, critical, and low rate, and these features of spiking dynamics contrib...
Algorithms Computer Simulation Animals Markov Chains Models, Neurological Neocortex Neural Networks, Computer Action Potentials Neurons
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