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Andrea Bruera; Yuan Tao; Andrew Anderson; Derya Çokal; Janosch Haber; Massimo Poesio – Cognitive Science, 2023
The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented…
Descriptors: Neurosciences, Brain Hemisphere Functions, Artificial Intelligence, Diagnostic Tests
Adi Korisky; Ido Davidesco; Ofek Ben-Abu; Orel Levy; Klil Abrahami; Orly Geri; Elana Zion Golumbic – Mind, Brain, and Education, 2024
Students' school requirements and learning activities engage many different cognitive processes, including language processing, memory, learning, attention, reasoning, decision-making, and social interaction. However, students rarely learn about these cognitive processes, or the brain mechanisms underlying them and therefore lack the critical…
Descriptors: Neurosciences, Artificial Intelligence, Computer Software, Learning Activities
Landa-Jiménez, M. A.; González-Gaspar, P.; Pérez-Estudillo, C.; López-Meraz, M. L.; Morgado-Valle, C.; Beltran-Parrazal, L. – Advances in Physiology Education, 2016
A Muscle-Computer Interface (muCI) is a human-machine system that uses electromyographic (EMG) signals to communicate with a computer. Surface EMG (sEMG) signals are currently used to command robotic devices, such as robotic arms and hands, and mobile robots, such as wheelchairs. These signals reflect the motor intention of a user before the…
Descriptors: Physiology, Neurosciences, Robotics, Muscular Strength