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The HGF is a recent derivation of one-step update equations from Bayesian principles that rests on a hierarchical ... is −196.19 for the first response model and −188.84 for the second. This ...
Hence, researchers often simulate the brain as a network of coupled neural masses, each described by a mean-field model. These models capture the essential features of neuronal populations while ...
Modern applications such as machine learning and large-scale optimization require the next big step, "matrix calculus" and calculus on arbitrary vector ... acting on square matrices. (e.g. matrix ...