AIMC Topic: Mice

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Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis.

Neuron Jun 7, 2018
Perceptions, thoughts, and actions unfold over millisecond timescales, while learned behaviors can require many days to mature. While recent experimental advances enable large-scale and long-term neural recordings with high temporal fidelity, it rema...
Spatial Navigation Neural Networks, Computer Brain-Computer Interfaces Animals Motor Cortex Prefrontal Cortex Macaca mulatta Time Factors Mice Unsupervised Machine Learning Principal Component Analysis
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Expanding the horizons of microRNA bioinformatics.

RNA (New York, N.Y.) Jun 5, 2018
MicroRNA regulation of key biological and developmental pathways is a rapidly expanding area of research, accompanied by vast amounts of experimental data. This data, however, is not widely available in bioinformatic resources, making it difficult fo...
Humans Animals Gene Regulatory Networks Databases, Genetic MicroRNAs Mice Molecular Sequence Annotation Computational Biology Gene Ontology Rats
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Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction.

IEEE transactions on pattern analysis and machine intelligence May 24, 2018
We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy (EM) in accuracy and scalability. Our method consists of a 3D U-Net, t...
Drosophila Microscopy, Electron Connectome Nerve Net Animals Deep Learning Algorithms Imaging, Three-Dimensional Neurons Image Processing, Computer-Assisted Cerebral Cortex Mice
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The characteristic patterns of neuronal avalanches in mice under anesthesia and at rest: An investigation using constrained artificial neural networks.

PloS one May 24, 2018
Local perturbations within complex dynamical systems can trigger cascade-like events that spread across significant portions of the system. Cascades of this type have been observed across a broad range of scales in the brain. Studies of these cascade...
Wakefulness Models, Neurological Anesthesia Action Potentials Rest Cerebral Cortex Neural Networks, Computer Neurons Animals Microelectrodes Mice
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Cell dynamic morphology classification using deep convolutional neural networks.

Cytometry. Part A : the journal of the International Society for Analytical Cytology May 15, 2018
Cell morphology is often used as a proxy measurement of cell status to understand cell physiology. Hence, interpretation of cell dynamic morphology is a meaningful task in biomedical research. Inspired by the recent success of deep learning, we here ...
Neural Networks, Computer Animals Databases, Factual Male Mice, Inbred C57BL Mice Deep Learning Lymphocytes Mice, Inbred BALB C
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Predicting lysine-malonylation sites of proteins using sequence and predicted structural features.

Journal of computational chemistry May 14, 2018
Malonylation is a recently discovered post-translational modification (PTM) in which a malonyl group attaches to a lysine (K) amino acid residue of a protein. In this work, a novel machine learning model, SPRINT-Mal, is developed to predict malonylat...
Mice Protein Processing, Post-Translational Molecular Structure Humans Machine Learning Animals Hominidae Saccharopolyspora Bacterial Proteins Lysine Malonates
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Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells.

Stem cell reports May 10, 2018
Deep learning technology is rapidly advancing and is now used to solve complex problems. Here, we used deep learning in convolutional neural networks to establish an automated method to identify endothelial cells derived from induced pluripotent stem...
Artificial Intelligence Machine Learning Cell Differentiation Endothelial Cells Animals Induced Pluripotent Stem Cells Deep Learning Mice
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Recognition of early stage thigmotaxis in Morris water maze test with convolutional neural network.

PloS one May 3, 2018
The Morris water maze test (MWM) is a useful tool to evaluate rodents' spatial learning and memory, but the outcome is susceptible to various experimental conditions. Thigmotaxis is a commonly observed behavioral pattern which is thought to be relate...
Mice Carotid Stenosis Swimming Mice, Inbred C57BL Neural Networks, Computer Taxis Response Carotid Artery, Common Sensitivity and Specificity Spatial Memory Reaction Time Machine Learning Maze Learning Animals Male
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Enhancing the Image Quality via Transferred Deep Residual Learning of Coarse PET Sinograms.

IEEE transactions on medical imaging Apr 26, 2018
Increasing the image quality of positron emission tomography (PET) is an essential topic in the PET community. For instance, thin-pixelated crystals have been used to provide high spatial resolution images but at the cost of sensitivity and manufactu...
Mice Positron-Emission Tomography Phantoms, Imaging Algorithms Animals Deep Learning Image Processing, Computer-Assisted
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Computational Analysis of Cell Dynamics in Videos with Hierarchical-Pooled Deep-Convolutional Features.

Journal of computational biology : a journal of computational molecular cell biology Apr 25, 2018
Computational analysis of cellular appearance and its dynamics is used to investigate physiological properties of cells in biomedical research. In consideration of the great success of deep learning in video analysis, we first introduce two-stream co...
Neural Networks, Computer Algorithms Animals Computational Biology Mice, Inbred BALB C Male Mice Video Recording Mice, Inbred C57BL Cell Physiological Phenomena Skin Transplantation Skin Diseases Lymphocytes
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