Here is the 3 page proposal I’ve written for the meta-creation class. It describes the system in more detailed terms and discusses the whole system. Philippe’s feedback was that this perception component does not make enough contribution to the field. He suggested that I either choose a more interested method of object segmentation, perhaps a more biologically oriented one, or use a different type of SOM, like a GSOM. A GSOM is a SOM that increases the number of units depending on the quantization error (QE) calculated for each unit. A high QE means too many inputs are associated with a particular unit, and that the map is therefore likely too small.
Next steps are to look into other object segmentation methods, continue working on implementing the system, as currently proposed, in gridflow, and to look into implementing a SOM, and then a GSOM, in gridflow.