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DeepWonder3D outperforms state-of-the-art methods in 3D localization accuracy with a tenfold reduction in computational costs, validated by numerical simulations and a hybrid two-photon/light-field imaging system.
A synthesis of photonic platforms that have already shown programmability, high integration density and stability, and that can support large-scale AI models, edge computing, and logic and scientific computing are offered.
Function subspace clustering based on sparse Representation of Intrinsic Dynamics (FRID), an unsupervised approach for identifying neurons with shared microcircuit connectivity and information encoding properties (referred to as ‘Functionomics’) from mesoscale neural recordings significantly outperforms correlated-firi...
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