AIMC Topic: Rats

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A Vibrissa-Inspired Highly Flexible Tactile Sensor: Scanning 3D Object Surfaces Providing Tactile Images.

Sensors (Basel, Switzerland) Feb 24, 2021
Just as the sense of touch complements vision in various species, several robots could benefit from advanced tactile sensors, in particular when operating under poor visibility. A prominent tactile sense organ, frequently serving as a natural paragon...
Animals Rats Robotics Touch Vibrissae
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Evaluation of the Use of Single- and Multi-Magnification Convolutional Neural Networks for the Determination and Quantitation of Lesions in Nonclinical Pathology Studies.

Toxicologic pathology Feb 23, 2021
Digital pathology platforms with integrated artificial intelligence have the potential to increase the efficiency of the nonclinical pathologist's workflow through screening and prioritizing slides with lesions and highlighting areas with specific le...
Animals Neural Networks, Computer Image Processing, Computer-Assisted Artificial Intelligence Rats
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Biomimetic FPGA-based spatial navigation model with grid cells and place cells.

Neural networks : the official journal of the International Neural Network Society Feb 13, 2021
The mammalian spatial navigation system is characterized by an initial divergence of internal representations, with disparate classes of neurons responding to distinct features including location, speed, borders and head direction; an ensuing converg...
Neural Networks, Computer Animals Rats Models, Neurological Entorhinal Cortex Spatial Navigation Grid Cells Neurons Place Cells Biomimetics Hippocampus
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DeepACSON automated segmentation of white matter in 3D electron microscopy.

Communications biology Feb 10, 2021
Tracing the entirety of ultrastructures in large three-dimensional electron microscopy (3D-EM) images of the brain tissue requires automated segmentation techniques. Current segmentation techniques use deep convolutional neural networks (DCNNs) and r...
White Matter Nerve Fibers, Myelinated Image Interpretation, Computer-Assisted Cell Nucleus Microscopy, Electron Imaging, Three-Dimensional Rats Brain Injuries, Traumatic Rats, Sprague-Dawley Disease Models, Animal Predictive Value of Tests Mitochondria Artificial Intelligence Reproducibility of Results Animals Male
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Automatic deep learning-driven label-free image-guided patch clamp system.

Nature communications Feb 10, 2021
Patch clamp recording of neurons is a labor-intensive and time-consuming procedure. Here, we demonstrate a tool that fully automatically performs electrophysiological recordings in label-free tissue slices. The automation covers the detection of cell...
Humans Software Adult Animals Male Middle Aged Brain Female Aged Electrophysiology Patch-Clamp Techniques Deep Learning Image Processing, Computer-Assisted Rats, Wistar Rats Neurons Video Recording Automation
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Machine intelligence identifies soluble TNFa as a therapeutic target for spinal cord injury.

Scientific reports Feb 9, 2021
Traumatic spinal cord injury (SCI) produces a complex syndrome that is expressed across multiple endpoints ranging from molecular and cellular changes to functional behavioral deficits. Effective therapeutic strategies for CNS injury are therefore li...
Injections, Spinal Spinal Cord Injuries Receptors, Tumor Necrosis Factor, Type I Rats, Long-Evans Rats Disease Models, Animal Models, Neurological Artificial Intelligence Tumor Necrosis Factor-alpha Female Animals Recombinant Proteins
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Automatic rat brain image segmentation using triple cascaded convolutional neural networks in a clinical PET/MR.

Physics in medicine and biology Feb 2, 2021
The purpose of this work was to develop and evaluate a deep learning approach for automatic rat brain image segmentation of magnetic resonance imaging (MRI) images in a clinical PET/MR, providing a useful tool for analyzing studies of the pathology a...
Rats Magnetic Resonance Imaging Neural Networks, Computer Positron-Emission Tomography Brain Automation Animals Image Processing, Computer-Assisted
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Prediction of Total Drug Clearance in Humans Using Animal Data: Proposal of a Multimodal Learning Method Based on Deep Learning.

Journal of pharmaceutical sciences Jan 23, 2021
Research into pharmacokinetics plays an important role in the development process of new drugs. Accurately predicting human pharmacokinetic parameters from preclinical data can increase the success rate of clinical trials. Since clearance (CL) which ...
Pharmacokinetics Deep Learning Drug Elimination Routes Humans Species Specificity Rats Animals Metabolic Clearance Rate Pharmaceutical Preparations Drug Discovery Models, Biological
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A stack LSTM structure for decoding continuous force from local field potential signal of primary motor cortex (M1).

BMC bioinformatics Jan 22, 2021
BACKGROUND: Brain Computer Interfaces (BCIs) translate the activity of the nervous system to a control signal which is interpretable for an external device. Using continuous motor BCIs, the user will be able to control a robotic arm or a disabled lim...
Motor Cortex Least-Squares Analysis Brain-Computer Interfaces Movement Neural Networks, Computer Animals Rats
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Application of Machine-Learning Methods to Recognize mitoBK Channels from Different Cell Types Based on the Experimental Patch-Clamp Results.

International journal of molecular sciences Jan 15, 2021
(1) Background: In this work, we focus on the activity of large-conductance voltage- and Ca2+-activated potassium channels (BK) from the inner mitochondrial membrane (mitoBK). The characteristic electrophysiological features of the mitoBK channels ar...
Patch-Clamp Techniques Large-Conductance Calcium-Activated Potassium Channels Potassium Channels Protein Conformation Endothelium Pregnancy, Animal Ion Channel Gating Kinetics Mitochondria Hippocampus Neural Networks, Computer Animals Algorithms Artificial Intelligence Pregnancy Rats, Wistar Machine Learning Female Rats Fibroblasts
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