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Episodic memories are leveraged to predict upcoming input. Latent Cause Theory (Gershman et al., 2017) predicts that after moderate prediction errors, existing memories will be updated by integrating new information, while after large prediction errors, a new latent cause is inferred, and the unpredicted event is encoded as a separate trace. To date, no study has directly compared memory updating
