MLP and its variants can be used to build a reconstruction model such as conventional autoencoders including many variants and GAN, for example.
I wonder if SOM can be a candidate to replace the role of MLP in this manner.
The wiki page says 'The goal of learning in the self-organizing map is to cause different parts of the network to respond similarly to certain input patterns.' Thus I thought the above attempt would be conceptually possible. But how in the details?