Author

Francesco Innocenti

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Open access Oct 2026

Predictive dendrites as a foundation for biological learning

A fundamental challenge for neuroscience is to identify laws of synaptic plasticity that are consistent with experimental observations at the level of individual neurons, whilst also explaining the ability of neural networks to learn complex tasks. Here we investigate a candidate law in which neurons adjust synaptic st...

Yu-Hang Song, Francesco Innocenti, N. Mirkhani et al. · bioRxiv · 0 citations

#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