AIMC Topic: Motor Neurons

Clear Filters Showing 11 to 20 of 37 articles

Memristive Circuit Implementation of Caenorhabditis Elegans Mechanism for Neuromorphic Computing.

IEEE transactions on neural networks and learning systems Sep 3, 2024
To overcome the energy efficiency bottleneck of the von Neumann architecture and scaling limit of silicon transistors, an emerging but promising solution is neuromorphic computing, a new computing paradigm inspired by how biological neural networks h...
Neural Networks, Computer Animals Models, Neurological Nerve Net Caenorhabditis elegans Interneurons Motor Neurons Robotics Neurons Locomotion
View on PubMed DOI

Digital Biomarker for Muscle Function Assessment Using Surface Electromyography With Electrical Stimulation and a Non-Invasive Wearable Device.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 26, 2024
Sarcopenia is a comprehensive degenerative disease with the progressive loss of skeletal muscle mass with age, accompanied by the loss of muscle strength and muscle dysfunction. Individuals with unmanaged sarcopenia may experience adverse outcomes. P...
Humans Neural Networks, Computer Young Adult Adult Male Middle Aged Algorithms Biomarkers Female Muscle Contraction Deep Learning Motor Neurons Sarcopenia Electromyography Wavelet Analysis Wearable Electronic Devices Muscle, Skeletal Healthy Volunteers Electric Stimulation Action Potentials
View on PubMed DOI

Classification of Action Potentials With High Variability Using Convolutional Neural Network for Motor Unit Tracking.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 26, 2024
The reliable classification of motor unit action potentials (MUAPs) provides the possibility of tracking motor unit (MU) activities. However, the variation of MUAP profiles caused by multiple factors in realistic conditions challenges the accurate cl...
Motor Neurons Action Potentials Muscle, Skeletal Electromyography Neural Networks, Computer Algorithms Humans
View on PubMed DOI

A generic neural network model to estimate populational neural activity for robust neural decoding.

Computers in biology and medicine Mar 1, 2022
BACKGROUND: Robust and continuous neural decoding is crucial for reliable and intuitive neural-machine interactions. This study developed a novel generic neural network model that can continuously predict finger forces based on decoded populational m...
Fingers Motor Neurons Neural Networks, Computer Muscle, Skeletal Electromyography Humans
View on PubMed DOI

Image-based deep learning reveals the responses of human motor neurons to stress and VCP-related ALS.

Neuropathology and applied neurobiology Oct 18, 2021
AIMS: Although morphological attributes of cells and their substructures are recognised readouts of physiological or pathophysiological states, these have been relatively understudied in amyotrophic lateral sclerosis (ALS) research.
Phenotype Deep Learning Amyotrophic Lateral Sclerosis Induced Pluripotent Stem Cells Neurites Motor Neurons Humans
View on PubMed DOI

Emerging of new bioartificial corticospinal motor synergies using a robotic additional thumb.

Scientific reports Sep 16, 2021
It is likely that when using an artificially augmented hand with six fingers, the natural five plus a robotic one, corticospinal motor synergies controlling grasping actions might be different. However, no direct neurophysiological evidence for this ...
Motor Neurons Pyramidal Tracts Evoked Potentials, Motor Motor Cortex Thumb Female Adult Male Humans Artificial Limbs Magnetic Resonance Imaging Motor Skills Robotics
View on PubMed DOI

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...
Larva Muscle, Skeletal Zebrafish Locomotion Extremities Spinal Cord Cats Humans Neural Networks, Computer Computer Simulation Animals Motor Neurons Motor Activity Rodentia Lampreys Interneurons Central Pattern Generators
View on PubMed DOI

Prediction Model of Amyotrophic Lateral Sclerosis by Deep Learning with Patient Induced Pluripotent Stem Cells.

Annals of neurology Feb 25, 2021
In amyotrophic lateral sclerosis (ALS), early diagnosis is essential for both current and potential treatments. To find a supportive approach for the diagnosis, we constructed an artificial intelligence-based prediction model of ALS using induced plu...
Early Diagnosis Motor Neurons Induced Pluripotent Stem Cells Humans Male Deep Learning Female Middle Aged Amyotrophic Lateral Sclerosis Aged
View on PubMed DOI

Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling.

Frontiers in neural circuits Dec 23, 2020
The mechanisms involved in generation of rhythmic locomotor activity in the mammalian spinal cord remain poorly understood. These mechanisms supposedly rely on both intrinsic properties of constituting neurons and interactions between them. A subset ...
Motor Activity Interneurons Spinal Cord Neural Networks, Computer Motor Neurons Locomotion Animals Nerve Net Synapses
View on PubMed DOI

A Knowledge-Based Machine Learning Approach to Gene Prioritisation in Amyotrophic Lateral Sclerosis.

Genes Jun 19, 2020
Amyotrophic lateral sclerosis is a neurodegenerative disease of the upper and lower motor neurons resulting in death from neuromuscular respiratory failure, typically within two to five years of first symptoms. Several rare disruptive gene variants h...
Amyotrophic Lateral Sclerosis Neurodegenerative Diseases Phenotype Knowledge Bases Genome-Wide Association Study Genetic Predisposition to Disease Motor Neurons Humans Genotype Machine Learning Genetic Association Studies
View on PubMed DOI
Popular Topics
Recent Journals