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  • title: Predictive Coding beyond Gaussian Distributions
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            Predictive Coding beyond Gaussian Distributions
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            Predictive Coding beyond Gaussian Distributions

            Nov 28, 2022

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            Luca Pinchetti

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            Tommaso Salvatori

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            Yordan Yordanov

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            About

            A large amount of recent research has the far-reaching goal of finding training methods for deep neural networks that can serve as alternatives to backpropagation (BP). A prominent example is predictive coding (PC), which is a neuroscience-inspired method that performs inference on hierarchical Gaussian generative models. These methods, however, fail to keep up with modern neural networks, as they are unable to replicate the dynamics of complex layers and activation functions. In this work…

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