In a study published in Cell on July 10, researchers reported the first comprehensive study of whole-brain projectomes of the ...

Here is how to explore real-time controllers and create better robots. Robotics is a resource-intensive field, especially ...

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

Zero-training BCI was presented to overcome the inconvenience and impractical aspects of the training session in the Brain-Computer Interface (BCI) based on Motor Imagery (MI). Zero-training BCI can ...

A biphasic structural plasticity rule interacts with homeostatic synaptic scaling to maintain firing rate homeostasis in neural networks.

Human motor learning is a neural process essential for acquiring new motor skills and adapting existing ones, which is fundamental to everyday activities. Neurological disorders such as Parkinson’s ...

Next, unlike conventional physics-informed neural networks that only utilize macroscopic physical information, we constrain the training of the neural network by using dynamic metabolic flux analysis ...

In this narrative review, we sought to explore the "neurobiomechanics" as a potential approach to investigate both neural and biomechanical aspects of human motion, trying to answer the following ...