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Francesco Innocenti

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#artificial intelligence Preprint Sep 2026

Analog-Friendly Predictive Coding without Activation Derivatives

This work introduces activation-matched Bregman PC, replacing standard squared-error energies with Bregman divergences matched to the activation function, which provides a more analog-friendly formulation of nonlinear PC while retaining its key computational properties.

Francesco Innocenti · 0 citations

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