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

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

Researchers have created over 400 distinct types of human nerve cells in vitro, vastly expanding the diversity available for ...

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 ...

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 ...

A new study published in Science has found that neurons in the brain do not follow a single strategy when learning. Instead, different parts of the same neuron—its upper and lower branches—adjust ...