Abstract: The primary aim of this study was to assess the classification performance of deep learning models in distinguishing between resting state and motor imagery swallowing, utilizing various ...
Abstract: Objective: Mild cognitive impairment (MCI) is characterized by early symptoms of attentional decline and may be distinguished through motor learning results. A relationship was reported ...
1 Center for Information and Neural Networks, Advanced ICT Research Institute, National Institute of Information and Communications Technology, Suita, Japan 2 Graduate School of Frontier Biosciences, ...
1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...
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 ...
Use the following AI prompts to utilize Microsoft Copilot to create alternative text for one or multiple images for your course. To use these prompts, log in to your Microsoft Copilot Work account ...
When faced with difficult tasks, sometimes people hit a mental wall and make the decision to "sleep on it." Returning to the task after sleeping, they often perform better. Why? Rhythmic brain ...
The trouble with playing a regulation MLB game at Bristol Motor Speedway is that, well, the venue is what the name suggests: A motor speedway. It's a race track. It's not the biggest racing surface in ...
A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images of ...
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