AIMC Topic: Motor Neurons
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Machine learning-based proteomics profiling of ALS identifies downregulation of RPS29 that maintains protein homeostasis and STMN2 level.
Communications biology
Aug 7, 2025
Amyotrophic lateral sclerosis (ALS) is a devastating motor neuron disease. The molecular understanding of ALS is hampered by the lack of experimental models recapitulating disease heterogeneity and analytical framework integrating multi-omics dataset...
A forward-engineered, muscle-driven soft robotic swimmer.
Science advances
Jul 16, 2025
The field of biohybrid robotics focuses on using biological actuators to study the emergent properties of tissues and the locomotion of living organisms. On the basis of models of swimming at small size scales, we designed and fabricated a muscle-pow...
Tailoring neuromuscular dynamics: A modeling framework for realistic sEMG simulation.
PloS one
Jun 12, 2025
This study introduces an advanced computational model for simulating surface electromyography (sEMG) signals during muscle contractions. The model integrates five elements that simulate the chain of processes from motor intention to voltage variation...
Conditional Generative Models for Simulation of EMG During Naturalistic Movements.
IEEE transactions on neural networks and learning systems
May 2, 2025
Numerical models of electromyography (EMG) signals have provided a huge contribution to our fundamental understanding of human neurophysiology and remain a central pillar of motor neuroscience and the development of human-machine interfaces. However,...
5-Repurposed Drug Candidates Identified in Motor Neurons and Muscle Tissues with Amyotrophic Lateral Sclerosis by Network Biology and Machine Learning Based on Gene Expression.
Neuromolecular medicine
Apr 3, 2025
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder that leads to motor neuron degeneration, muscle weakness, and respiratory failure. Despite ongoing research, effective treatments for ALS are limited. This study aimed to...
Unsupervised Neural Decoding to Predict Dexterous Multi-Finger Flexion and Extension Forces.
IEEE journal of biomedical and health informatics
Mar 6, 2025
Accurate control over individual fingers of robotic hands is essential for the progression of human-robot interactions. Accurate prediction of finger forces becomes imperative in this context. The state-of-the-art neural decoders can extract neural s...
Merging motoneuron and postural synergies in prosthetic hand design for natural bionic interfacing.
Science robotics
Jan 15, 2025
Despite the advances in bionic reconstruction of missing limbs, the control of robotic limbs is still limited and, in most cases, not felt to be as natural by users. In this study, we introduce a control approach that combines robotic design based on...
Machine learning identified novel players in lipid metabolism, endosomal trafficking, and iron metabolism of the ALS spinal cord.
Scientific reports
Jan 10, 2025
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease affecting motor neurons. Although genes causing familial cases have been identified, those of sporadic ALS, which occupies the majority of patients, are still elusive. In this s...
A U-Net based partial convolutional time-domain separation model to identify motor units from surface electromyographic signals in real time.
Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
Dec 19, 2024
This study proposed a U-Net based partial convolutional time-domain model for a real-time high-density surface electromyography (HD-sEMG) decomposition. The model combines U-Net and a separation block containing partial convolution, aiming to efficie...
Float like a butterfly, swim like a biohybrid neuromuscular robot.
Science robotics
Sep 25, 2024
A butterfly-like robot swims using an electronic device to stimulate human-derived motor neurons and cardiac muscle cells.
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