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Diagram of the 3-stage neural network model and the processing paths. The model is driven by visual and proprioceptive features. In Stage I, generalization over spatio-temporal transformations is achieved. Stage II converts the coding scheme to population coding. Stage III accounts for segmentation of the driving data into motion patterns and learning of the temporal sequence of patterns.
