Motor control ICs deliver higher efficiency, along with AI/ML functionality for improvements in predictive maintenance.

The University of South Florida has been selected as one of six recipients worldwide in Meta Reality Labs’ competitive research program exploring the future of muscle-based human–computer interaction.

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

Acquiring movement skills is crucial across the lifespan, supporting an individual’s participation in sports and physical activities. Errorless motor learning, which promotes success during practice, ...

Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...

Stroke is one of the leading causes of non-traumatic disability worldwide, affecting more than 15 million people each year, with about three-quarters experiencing long-term functional impairments.

A University of Texas at Arlington study reveals that even children who meet standard developmental milestones may be falling behind in age-appropriate motor skills. Priscila Tamplain, UT Arlington ...

ABSTRACT: Background: Mind-body exercise (MBE) is increasingly recognized for its multidimensional benefits to physical, cognitive, and psychological health. While established modalities like yoga, ...

aCentre for Brain Science, Department of Psychology, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, UK bEssex ESNEFT Psychological Research Unit for Behaviour, Health and Wellbeing, ...

This important study tests the development of motor reinforcement learning from toddlerhood to adulthood, using a large online sample. They show that learning improves with age in a task that, like ...

This study presents valuable computational findings on the neural basis of learning new motor memories and the savings using recurrent neural networks. The evidence supporting the claims of the ...