AIMC Topic: Rodentia

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AI Enabled IoRT Framework for Rodent Activity Monitoring in a False Ceiling Environment.

Sensors (Basel, Switzerland) Aug 6, 2021
Routine rodent inspection is essential to curbing rat-borne diseases and infrastructure damages within the built environment. Rodents find false ceilings to be a perfect spot to seek shelter and construct their habitats. However, a manual false ceili...
Animals Rats Rodentia Neural Networks, Computer Algorithms
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Utilizing Whole Slide Images for the Primary Evaluation and Peer Review of a GLP-Compliant Rodent Toxicology Study.

Toxicologic pathology Jun 1, 2021
The approach undertaken to deliver a Good Laboratory Practice (GLP) validation of whole slide images (WSIs) and the associated workflow for the digital primary evaluation and peer review of a GLP-compliant rodent inhalation toxicity study is describe...
Peer Review Animals Image Processing, Computer-Assisted Artificial Intelligence Software Rodentia
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The CPGs for Limbed Locomotion-Facts and Fiction.

International journal of molecular sciences May 30, 2021
The neuronal networks that generate locomotion are well understood in swimming animals such as the lamprey, zebrafish and tadpole. The networks controlling locomotion in tetrapods remain, however, still enigmatic with an intricate motor pattern requi...
Neural Networks, Computer Computer Simulation Animals Humans Extremities Lampreys Motor Activity Central Pattern Generators Interneurons Spinal Cord Motor Neurons Larva Cats Rodentia Muscle, Skeletal Locomotion Zebrafish
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Deep Learning in Toxicologic Pathology: A New Approach to Evaluate Rodent Retinal Atrophy.

Toxicologic pathology Dec 29, 2020
Quantification of retinal atrophy, caused by therapeutics and/or light, by manual measurement of retinal layers is labor intensive and time-consuming. In this study, we explored the role of deep learning (DL) in automating the assessment of retinal a...
Rats Tomography, Optical Coherence Retina Atrophy Rodentia Retinal Degeneration Animals Deep Learning
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Using Artificial Intelligence to Detect, Classify, and Objectively Score Severity of Rodent Cardiomyopathy.

Toxicologic pathology Dec 8, 2020
Rodent progressive cardiomyopathy (PCM) encompasses a constellation of microscopic findings commonly seen as a spontaneous background change in rat and mouse hearts. Primary histologic features of PCM include varying degrees of cardiomyocyte degenera...
Animals Mice Rats Neural Networks, Computer Artificial Intelligence Algorithms Cardiomyopathies Rodentia
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Scalable classification of organisms into a taxonomy using hierarchical supervised learners.

Journal of bioinformatics and computational biology Oct 29, 2020
Accurately identifying organisms based on their partially available genetic material is an important task to explore the phylogenetic diversity in an environment. Specific fragments in the DNA sequence of a living organism have been defined as DNA ba...
Ferns Chiroptera Rodentia Deep Learning Support Vector Machine Databases, Genetic Fungi DNA Barcoding, Taxonomic Classification Animals Algorithms Birds Phylogeny
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Deep learning-based behavioral analysis reaches human accuracy and is capable of outperforming commercial solutions.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Jul 25, 2020
To study brain function, preclinical research heavily relies on animal monitoring and the subsequent analyses of behavior. Commercial platforms have enabled semi high-throughput behavioral analyses by automating animal tracking, yet they poorly recog...
Humans Rodentia Animals Behavior Rating Scale Machine Learning Deep Learning Mice
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Bio-inspired multi-scale fusion.

Biological cybernetics Apr 22, 2020
We reveal how implementing the homogeneous, multi-scale mapping frameworks observed in the mammalian brain's mapping systems radically improves the performance of a range of current robotic localization techniques. Roboticists have developed a range ...
Place Cells Recognition, Psychology Spatial Navigation Rodentia Movement Entorhinal Cortex Brain Mapping Robotics Datasets as Topic Algorithms Computer Simulation Animals
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Deep learning improves automated rodent behavior recognition within a specific experimental setup.

Journal of neuroscience methods Nov 30, 2019
Automated observation and analysis of rodent behavior is important to facilitate research progress in neuroscience and pharmacology. Available automated systems lack adaptivity and can benefit from advances in AI. In this work we compare a state-of-t...
Neurosciences Recognition, Psychology Rodentia Animals Deep Learning Rats Photic Stimulation
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A comprehensive knowledge base of synaptic electrophysiology in the rodent hippocampal formation.

Hippocampus Aug 31, 2019
The cellular and synaptic architecture of the rodent hippocampus has been described in thousands of peer-reviewed publications. However, no human- or machine-readable public catalog of synaptic electrophysiology data exists for this or any other neur...
Data Mining Age Factors Electrophysiological Phenomena Synapses Animals Neuronal Plasticity Hippocampus Rodentia Male Knowledge Bases
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