New Ideas for Brain Modelling 2
  This paper describes a relatively simple way of allowing a brain model to
self-organise its concept patterns through nested structures. For a simulation,
time reduction is helpful and it would be able to show how patterns may form
and then fire in sequence, as part of a search or thought process. It uses a
very simple equation to show how the inhibitors in particular, can switch off
certain areas, to allow other areas to become the prominent ones and thereby
define the current brain state. This allows for a small amount of control over
what appears to be a chaotic structure inside of the brain. It is attractive
because it is still mostly mechanical and therefore can be added as an
automatic process, or the modelling of that. The paper also describes how the
nested pattern structure can be used as a basic counting mechanism. Another
mathematical conclusion provides a basis for maintaining memory or concept
patterns. The self-organisation can space itself through automatic processes.
This might allow new neurons to be added in a more even manner and could help
to maintain the concept integrity. The process might also help with finding
memory structures afterwards. This extended version integrates further with the
existing cognitive model and provides some new conclusions.
