AIMC Topic: Animals

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Real-time sensory-motor integration of hippocampal place cell replay and prefrontal sequence learning in simulated and physical rat robots for novel path optimization.

Biological cybernetics Feb 24, 2020
An open problem in the cognitive dimensions of navigation concerns how previous exploratory experience is reorganized in order to allow the creation of novel efficient navigation trajectories. This behavior is revealed in the "traveling salesrat prob...
Algorithms Computer Simulation Learning Animals Hippocampus Spatial Navigation Place Cells Ventral Striatum Rats Models, Neurological Robotics Reward
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The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors.

Journal of chemical information and modeling Feb 24, 2020
Metabolism of drugs affects their absorption, distribution, efficacy, excretion, and toxicity profiles. Metabolism is routinely assessed experimentally using recombinant enzymes, human liver microsome, and animal models. Unfortunately, these experime...
Deep Learning Metabolic Networks and Pathways Color Microsomes, Liver Humans Neural Networks, Computer Animals
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Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes.

Genetics, selection, evolution : GSE Feb 24, 2020
BACKGROUND: Transforming large amounts of genomic data into valuable knowledge for predicting complex traits has been an important challenge for animal and plant breeders. Prediction of complex traits has not escaped the current excitement on machine...
Phenotype Animals Deep Learning Cattle Genomics Bayes Theorem Polymorphism, Single Nucleotide Quantitative Trait, Heritable Genotype Multifactorial Inheritance Models, Genetic
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Combining feature selection and shape analysis uncovers precise rules for miRNA regulation in Huntington's disease mice.

BMC bioinformatics Feb 24, 2020
BACKGROUND: MicroRNA (miRNA) regulation is associated with several diseases, including neurodegenerative diseases. Several approaches can be used for modeling miRNA regulation. However, their precision may be limited for analyzing multidimensional da...
Gene Knock-In Techniques RNA-Seq Trinucleotide Repeats Mice Huntington Disease RNA, Messenger Huntingtin Protein Proteomics Disease Models, Animal Humans MicroRNAs Machine Learning Neurons Brain Gene Expression Regulation Animals
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CFD based parameter tuning for motion control of robotic fish.

Bioinspiration & biomimetics Feb 24, 2020
After millions of years of evolution, fishes have been endowed with agile swimming ability to accomplish various behaviourally relevant tasks. In comparison, robotic fish are still quite poor swimmers. One of the unique challenges facing robotic fish...
Gait Motion Fishes Swimming Computer Simulation Biomechanical Phenomena Animals Robotics Biomimetic Materials Hydrodynamics
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Pre-Synaptic Pool Modification (PSPM): A supervised learning procedure for recurrent spiking neural networks.

PloS one Feb 24, 2020
Learning synaptic weights of spiking neural network (SNN) models that can reproduce target spike trains from provided neural firing data is a central problem in computational neuroscience and spike-based computing. The discovery of the optimal weight...
Models, Neurological Action Potentials Supervised Machine Learning Connectome Computer Simulation Nerve Net Animals Presynaptic Terminals
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Discovery of Small-Molecule Activators for Glucose-6-Phosphate Dehydrogenase (G6PD) Using Machine Learning Approaches.

International journal of molecular sciences Feb 23, 2020
Glucose-6-Phosphate Dehydrogenase (G6PD) is a ubiquitous cytoplasmic enzyme converting glucose-6-phosphate into 6-phosphogluconate in the pentose phosphate pathway (PPP). The G6PD deficiency renders the inability to regenerate glutathione due to lack...
Glucosephosphate Dehydrogenase NADP Pentose Phosphate Pathway Oxidative Stress Oxidation-Reduction Glucosephosphate Dehydrogenase Deficiency Drug Evaluation, Preclinical Catalytic Domain Machine Learning Glutathione Animals X-Ray Diffraction Molecular Docking Simulation Protein Interaction Domains and Motifs Humans Drug Discovery
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ChronoMID-Cross-modal neural networks for 3-D temporal medical imaging data.

PloS one Feb 21, 2020
ChronoMID-neural networks for temporally-varying, hence Chrono, Medical Imaging Data-makes the novel application of cross-modal convolutional neural networks (X-CNNs) to the medical domain. In this paper, we present multiple approaches for incorporat...
Mice, Inbred C57BL Data Interpretation, Statistical Bone Remodeling X-Ray Microtomography Imaging, Three-Dimensional Female Mice Animals Models, Theoretical Spatio-Temporal Analysis Deep Learning Neural Networks, Computer Machine Learning
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Anti-Inflammatory Activity of Sanjie Zhentong Capsule Assessed By Network Pharmacology Analysis of Adenomyosis Treatment.

Drug design, development and therapy Feb 20, 2020
BACKGROUND: Sanjie Zhentong capsule (SZC) offers excellent effect in treating adenomyosis (AM), which is a common and difficult gynecological disease in the clinic. However, the systematic analysis of its mechanism has not been carried out yet and fu...
Adenomyosis Animals Lipopolysaccharides Neural Networks, Computer Anti-Inflammatory Agents Cells, Cultured Mice Cell Survival Capsules Cytokines Nitric Oxide Drugs, Chinese Herbal RAW 264.7 Cells Medicine, Chinese Traditional Databases, Pharmaceutical
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A Classification Method of Oracle Materials Based on Local Convolutional Neural Network Framework.

IEEE computer graphics and applications Feb 20, 2020
The classification of materials of oracle bone is one of the most basic aspects for oracle bone morphology. However, the classification method depending on experts' experience requires long-term learning and accumulation for professional knowledge. T...
China Image Processing, Computer-Assisted Bone and Bones Spirituality History, Ancient Animal Shells Art Neural Networks, Computer Algorithms Animals
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