AIMC Topic: Axons

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A simple parametric representation of the Hodgkin-Huxley model.

PloS one Jul 22, 2021
The Hodgkin-Huxley model, decades after its first presentation, is still a reference model in neuroscience as it has successfully reproduced the electrophysiological activity of many organisms. The primary signal in the model represents the membrane ...
Machine Learning Animals Models, Neurological Membrane Potentials Action Potentials Axons Decapodiformes
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Ischemic stroke-induced polyaxonal innervation at the neuromuscular junction is attenuated by robot-assisted mechanical therapy.

Experimental neurology May 25, 2021
Ischemic stroke is a leading cause of disability world-wide. Mounting evidence supports neuromuscular pathology following stroke, yet mechanisms of dysfunction and therapeutic action remain undefined. The objectives of our study were to investigate n...
Rats, Wistar Rats Robotics Animals Male Muscle Contraction Mechanical Phenomena Musculoskeletal Manipulations Neuromuscular Junction Ischemic Stroke Axons Brain Ischemia
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Small universal spiking neural P systems with dendritic/axonal delays and dendritic trunk/feedback.

Neural networks : the official journal of the International Neural Network Society Feb 16, 2021
In spiking neural P (SN P) systems, neurons are interconnected by means of synapses, and they use spikes to communicate with each other. However, in biology, the complex structure of dendritic tree is also an important part in the communication schem...
Dendrites Humans Neural Networks, Computer Reaction Time Axons Synapses Feedback Models, Neurological Action Potentials
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Optical Axons for Electro-Optical Neural Networks.

Sensors (Basel, Switzerland) Oct 27, 2020
Recently, neuromorphic sensors, which convert analogue signals to spiking frequencies, have ‎been reported for neurorobotics. In bio-inspired systems these sensors are connected to the main neural unit to perform ‎post-processing of the sensor data. ...
Axons Synapses Optics and Photonics Neural Networks, Computer Neurons
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Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination.

NeuroImage Oct 6, 2020
The intra-axonal water exchange time (τ), a parameter associated with axonal permeability, could be an important biomarker for understanding and treating demyelinating pathologies such as Multiple Sclerosis. Diffusion-Weighted MRI (DW-MRI) is sensiti...
Monte Carlo Method White Matter Demyelinating Diseases Permeability Axons Microscopy, Electron Cuprizone Diffusion Magnetic Resonance Imaging Corpus Callosum Monoamine Oxidase Inhibitors Machine Learning Computer Simulation Animals Image Processing, Computer-Assisted Mice Disease Models, Animal
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Myelin detection in fluorescence microscopy images using machine learning.

Journal of neuroscience methods Sep 12, 2020
BACKGROUND: The myelin sheath produced by glial cells insulates the axons, and supports the function of the nervous system. Myelin sheath degeneration causes neurodegenerative disorders, such as multiple sclerosis (MS). There are no therapies for MS ...
Axons Neural Networks, Computer Machine Learning Microscopy, Fluorescence Myelin Sheath Animals Mice
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AxoNet: A deep learning-based tool to count retinal ganglion cell axons.

Scientific reports May 15, 2020
In this work, we develop a robust, extensible tool to automatically and accurately count retinal ganglion cell axons in optic nerve (ON) tissue images from various animal models of glaucoma. We adapted deep learning to regress pixelwise axon count de...
Reproducibility of Results Animals Male Deep Learning Computational Biology Rats Software Algorithms Female Glaucoma Disease Susceptibility Axons Retinal Ganglion Cells Optic Nerve Diseases Disease Models, Animal Optic Nerve Models, Biological
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State-of-the-art methods in healthcare text classification system: AI paradigm.

Frontiers in bioscience (Landmark edition) Jan 1, 2020
Machine learning has shown its importance in delivering healthcare solutions and revolutionizing the future of filtering huge amountd of textual content. The machine intelligence can adapt semantic relations among text to infer finer contextual infor...
Synapses Nerve Net Humans Delivery of Health Care Models, Neurological Neurons Axons Neural Networks, Computer Artificial Intelligence Machine Learning
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Computational analysis of non-invasive deep brain stimulation based on interfering electric fields.

Physics in medicine and biology Dec 5, 2019
Neuromodulation modalities are used as effective treatments for some brain disorders. Non-invasive deep brain stimulation (NDBS) via temporally interfering electric fields has emerged recently as a non-invasive strategy for electrically stimulating d...
Axons Electricity Models, Neurological Electrodes Deep Brain Stimulation Humans Neural Networks, Computer
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Measurement-oriented deep-learning workflow for improved segmentation of myelin and axons in high-resolution images of human cerebral white matter.

Journal of neuroscience methods Aug 1, 2019
BACKGROUND: Standard segmentation of high-contrast electron micrographs (EM) identifies myelin accurately but does not translate easily into measurements of individual axons and their myelin, even in cross-sections of parallel fibers. We describe aut...
Image Interpretation, Computer-Assisted Microscopy, Electron White Matter Cerebrum Autopsy Myelin Sheath Axons Humans Deep Learning Workflow
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