Machine learning with whole-cell patch-clamp and local field potential recordings reveals that synaptic responses from five mossy cells, despite their limited population, can significantly reconstruct ...
Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...
Abstract: For sparse array design, degrees of freedom (DOFs) and mutual coupling (MC) are two essential metrics to be taken into account, and high DOFs and low MC are favorable to generating better ...
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