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Spiking neural network learns to predict what will happen, when, and how likely it is
Imagine hearing a familiar sound and expecting something to happen. Before the event arrives, the brain can predict what it will be, when it will occur and how likely it is. Yet computational models ...
A new model called GA-ODE combines graph attention networks with ordinary differential equation constraints to predict ...
A recurrent neural network is a type of artificial neural network commonly used in speech recognition and natural language processing. Recurrent neural networks recognize data's sequential ...
A retrospective single-center study developed an interpretable artificial neural network that predicted three-year local ...
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 ...
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