Hi, @Cagri_Kaplan,
Sorry for the late reply. As far as I know, one of the most distinct characteristics of such a model is the iterative inference mechanism. The representative models with such mechanism include:


Predictive Sparse Decomposition 8 (PSD), which introduces a regression mapping into the original sparse coding model to implement approximate inference.


Deconvolutional Networks 9, which can be used to learn representations and generate images by the convolutional operation.


Predictive Coding 5 (PC), which imitates the hierarchical architecture and the information processing mechanism in the human vision cortex.


Fast Inference Predictive Coding 8, which extends the basic PC model to implement approxmate inference like PSD. Another recent work on PC is the Predictive Coding Network 5 that disentangles the bottom-up and top-down information flowing ways in PC to solve the object recognition task.


Hope these stuff could help. I’m glad to share my understandings on this topic with you.
Regards,
Zengjie Song