Overlapping Cell Assemblies

The work I've shown has been with non-overlapping CAs. That is, a neuron is in at most one CA.
Sakurai has pointed out the importance of overlapping CAs.
Firstly it enables more CAs to be put into a given network.
Secondly, and perhaps more importantly, it allows different CAs for related concepts.
To get this to work at all, we've needed to use Compensatory Learning. (We also used it in the spontaneous neural activation work.)
This is work we put into Neural Computing that should just have been published (though I haven't looked).
We took our standard 20x20 net and started to include more and more rows in both patterns.
This shows that up until about 40% overlap we get two distinct patterns.