AIMC Topic: Rats

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Selective peripheral nerve recordings from nerve cuff electrodes using convolutional neural networks.

Journal of neural engineering Jan 31, 2020
OBJECTIVE: Recording and stimulating from the peripheral nervous system are becoming important components in a new generation of bioelectronics systems. Although neurostimulation has seen a history of successful chronic applications in humans, periph...
Animals Peripheral Nerves Neural Networks, Computer Rats, Long-Evans Rats Electrodes, Implanted Action Potentials
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Spike detection and sorting with deep learning.

Journal of neural engineering Jan 24, 2020
OBJECTIVE: The extraction and identification of single-unit activities in intracortically recorded electric signals have a key role in basic neuroscience, but also in applied fields, like in the development of high-accuracy brain-computer interfaces....
Neural Networks, Computer Rats, Wistar Rats Algorithms Action Potentials Animals Somatosensory Cortex Deep Learning
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A simple three layer excitatory-inhibitory neuronal network for temporal decision-making.

Behavioural brain research Jan 20, 2020
Humans and animals do not only keep track of time intervals but they can also make decisions about durations. Temporal bisection is a psychophysical task that is widely used to assess the latter ability via categorization of durations as short or lon...
Decision Making Reaction Time Neurons Time Perception Hippocampus Neural Networks, Computer Animals Choice Behavior Learning Rats
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Multiclass Classification of Hepatic Anomalies with Dielectric Properties: From Phantom Materials to Rat Hepatic Tissues.

Sensors (Basel, Switzerland) Jan 18, 2020
Open-ended coaxial probes can be used as tissue characterization devices. However, the technique suffers from a high error rate. To improve this technology, there is a need to decrease the measurement error which is reported to be more than 30% for a...
Liver Cirrhosis Liver Equipment Design Electrophysiological Phenomena Electrophysiology Phantoms, Imaging Algorithms Female Animals Logistic Models Rats, Wistar Rats Machine Learning
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Reconstruction of spectra from truncated free induction decays by deep learning in proton magnetic resonance spectroscopy.

Magnetic resonance in medicine Jan 8, 2020
PURPOSE: To explore the applicability of convolutional neural networks (CNNs) in the reconstruction of spectra from truncated FIDs (tFIDs) in H-MRS, which can be valuable in situations in which data sampling is highly limited, such as spectroscopic ...
Neural Networks, Computer Animals Deep Learning Proton Magnetic Resonance Spectroscopy Rats Magnetic Resonance Spectroscopy
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Endocannabinoid degradation inhibitors ameliorate neuronal and synaptic alterations following traumatic brain injury.

Journal of neurophysiology Jan 8, 2020
Our previous work showed that lateral fluid percussion injury to the sensorimotor cortex (SMC) of anesthetized rats increased neuronal synaptic hyperexcitability in layer 5 (L5) neurons in ex vivo brain slices 10 days postinjury. Furthermore, endocan...
Rats Brain Injuries, Traumatic Piperazines Animals Male Rats, Wistar Amidohydrolases Succinimides Benzamides Pyramidal Cells Piperidines Enzyme Inhibitors Carbamates Machine Learning Endocannabinoids Benzodioxoles Monoacylglycerol Lipases Electrophysiological Phenomena Excitatory Postsynaptic Potentials Sensorimotor Cortex
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Deep learning enables pathologist-like scoring of NASH models.

Scientific reports Dec 5, 2019
Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic steatohepatitis (NASH) are diseases of major importance with a high unmet medical need. Efficacy studies on novel compounds to treat NAFLD/NASH using disease models a...
Microscopy Datasets as Topic Biopsy Feasibility Studies Non-alcoholic Fatty Liver Disease Rats Disease Models, Animal Severity of Illness Index Liver Deep Learning Humans Image Processing, Computer-Assisted Animals Mice
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DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data.

Scientific reports Dec 4, 2019
The scale of biological microscopy has increased dramatically over the past ten years, with the development of new modalities supporting collection of high-resolution fluorescence image volumes spanning hundreds of microns if not millimeters. The siz...
Animals Image Processing, Computer-Assisted Kidney Deep Learning Imaging, Three-Dimensional Rats Cell Nucleus Optical Imaging
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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...
Rodentia Photic Stimulation Neurosciences Animals Recognition, Psychology Deep Learning Rats
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Data-driven analyses of motor impairments in animal models of neurological disorders.

PLoS biology Nov 21, 2019
Behavior provides important insights into neuronal processes. For example, analysis of reaching movements can give a reliable indication of the degree of impairment in neurological disorders such as stroke, Parkinson disease, or Huntington disease. T...
Movement Motor Activity Neural Networks, Computer Motor Disorders Forelimb Animals Stroke Male Rats Nervous System Diseases Image Processing, Computer-Assisted Disease Models, Animal Motor Skills
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