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 ...
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 ...
Morning Overview on MSN
Quantum reservoir computing hits its peak at the brink of many body chaos
Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...
Understanding how the brain processes what we see is one of the central questions in neuroscience. Our visual system is incredibly powerful, able to ...
Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
The trial-to-trial variability of neuronal responses and the correlated response variability among neurons are modulated by visual stimulus size in a manner that depends on cortical layer, suggesting ...
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