A Schematic Diagram of PredNet (a Modification of Figure 1 in Lotter et al. 2016, arXiv:1605.08104) (IMAGE)
Caption
Illustration of information flow within a single layer is presented. Vertical arrows represent connections with other layers. Each layer consists of "Representation" neurons, which output a layer-specific "Prediction" at each time step, which is subtracted from "Target" to produce an error, which is then propagated laterally and vertically in the network. External data or a lower-layer error signal is input to "Target." In each layer, the input information is not processed directly, and the prediction error signal is processed.
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