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Bayesian Predictive Coding

  • Bayesian Predictive Coding (BPC) is a Bayesian extension to the influential theory of Predictive Coding (PC) in information processing in the brain.
  • BPC estimates a posterior distribution over network parameters, allowing for better quantification of epistemic uncertainty.
  • Compared to PC, BPC converges in fewer epochs in the full-batch setting and remains competitive in the mini-batch setting.
  • BPC provides a biologically plausible method for Bayesian learning in the brain and offers attractive uncertainty quantification in deep learning.

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