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In recent years, deep neural networks inspired by the notion of predictive coding have been shown to make accurate predictions of future frames. In this study, we focus on a predictive neural network, one of such implementations to evaluate the relationship between natural and artificial neural networks. By using PredNet, a predictive neural architecture, we show that representations extracted from the architecture are correlative with brain activities evoked by natural movie stimuli. Our result gives a verification result on the theoretical hypothesis of predictive coding.

A Study on a Correlation between a Predictive Model of Motion Pictures Imitating the Predictive Coding of the Cerebral Cortex and Brain Activity