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. DCPC differs from other formulations of predictive coding%2C as it respects the correlation structure of the generative model and provably performs maximum-likelihood updates of model parameters%2C all without sacrificing biological plausibility. Empirically%2C DCPC achieves better numerical performance than competing algorithms and provides accurate inference in a number of problems not previously addressed with predictive coding. We provide an open implementation of DCPC in Pyro on Github.?quality=80&w=800)
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