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Computational models predict neural activity for re-establishing connectivity after stroke or injury
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...
Human memory and attention are core cognitive functions that shape perception, learning, and decision-making. And whilst decades of research have provided ...
The interdisciplinary field of language learning and computational models has witnessed rapid growth in recent years. Researchers pursue an integrative approach that combines cognitive science, ...
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have achieved a major ...
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Inner 'self-talk' helps AI models learn, adapt and multitask more easily
Talking to oneself is a trait which feels inherently human. Our inner monologs help us organize our thoughts, make decisions, ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
Neural circuits in the brain are highly sophisticated biological systems, orchestrating ultra-fast, parallel computations ...
Researchers say the new computational model can “simulate and predict” human behavior in any domain, something they claim will help fast-track new scientific discoveries. A team of researchers from ...
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