AIMC Topic: Mammals

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UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues.

Communications biology Nov 18, 2022
Upcoming technologies enable routine collection of highly multiplexed (20-60 channel), subcellular resolution images of mammalian tissues for research and diagnosis. Extracting single cell data from such images requires accurate image segmentation, a...
Machine Learning Animals Humans Mammals Cell Nucleus Deep Learning Image Processing, Computer-Assisted
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Human-muscle-inspired single fibre actuator with reversible percolation.

Nature nanotechnology Oct 27, 2022
Artificial muscles are indispensable components for next-generation robotics capable of mimicking sophisticated movements of living systems. However, an optimal combination of actuation parameters, including strain, stress, energy density and high me...
Mammals Graphite Animals Robotics Humans
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Combining mass spectrometry and machine learning to discover bioactive peptides.

Nature communications Oct 20, 2022
Peptides play important roles in regulating biological processes and form the basis of a multiplicity of therapeutic drugs. To date, only about 300 peptides in human have confirmed bioactivity, although tens of thousands have been reported in the lit...
Mice Mass Spectrometry Animals Peptides Mammals Humans Machine Learning
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Live fish learn to anticipate the movement of a fish-like robot.

Bioinspiration & biomimetics Oct 18, 2022
The ability of an individual to predict the outcome of the actions of others and to change their own behavior adaptively is called anticipation. There are many examples from mammalian species-including humans-that show anticipatory abilities in a soc...
Robotics Humans Poecilia Mammals Animals Biomimetics Movement
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Structured random receptive fields enable informative sensory encodings.

PLoS computational biology Oct 10, 2022
Brains must represent the outside world so that animals survive and thrive. In early sensory systems, neural populations have diverse receptive fields structured to detect important features in inputs, yet significant variability has been ignored in ...
Animals Neurons Neural Networks, Computer Mammals Neurons, Afferent
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MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex.

PLoS computational biology Sep 6, 2022
Convolutional neural networks trained on object recognition derive inspiration from the neural architecture of the visual system in mammals, and have been used as models of the feedforward computation performed in the primate ventral stream. In contr...
Neural Networks, Computer Animals Mice Neurons Visual Cortex Mammals Visual Perception
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Probing the rules of cell coordination in live tissues by interpretable machine learning based on graph neural networks.

PLoS computational biology Sep 6, 2022
Robustness in developing and homeostatic tissues is supported by various types of spatiotemporal cell-to-cell interactions. Although live imaging and cell tracking are powerful in providing direct evidence of cell coordination rules, extracting and c...
Machine Learning Animals Neural Networks, Computer Mammals Cell Tracking
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Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation.

IEEE transactions on neural networks and learning systems Aug 31, 2022
Enabling a neural network to sequentially learn multiple tasks is of great significance for expanding the applicability of neural networks in real-world applications. However, artificial neural networks face the well-known problem of catastrophic for...
Neuronal Plasticity Mammals Learning Animals Machine Learning Neural Networks, Computer Brain
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Recognition of big mammal species in airborne thermal imaging based on YOLO V5 algorithm.

Integrative zoology Aug 26, 2022
Unmanned aerial vehicle (UAV) technology, artificial intelligence, and the relevant hardware can be used for monitoring wild animals. However, existing methods have several limitations. Therefore, this study explored the monitoring and protection of ...
Animals, Wild Artificial Intelligence Algorithms China Mammals Animals
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De novo spatiotemporal modelling of cell-type signatures in the developmental human heart using graph convolutional neural networks.

PLoS computational biology Aug 12, 2022
With the emergence of high throughput single cell techniques, the understanding of the molecular and cellular diversity of mammalian organs have rapidly increased. In order to understand the spatial organization of this diversity, single cell data is...
Neural Networks, Computer Humans Animals Cell Differentiation Mammals Myocytes, Cardiac
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