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 2004.
- 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.
