Modelling Cell Assemblies
by Chris Huyck
c.huyck@mdx.ac.uk
How do people think?
One answer is that we use our neurons.
Another answer is that we use areas of our brains
for particular activities.
To some extent both of these answers lack rigor. While we can model
neurons, we can't see how they would exhibit behavior like we do. Brain
areas are too sophisticated for us to model in any real way.
What is needed is some model in between the two.
One that has enough power to model real psychological phenomena,
but one that is simple enough to be modelled with current technology.
Cell Assemblies, or CAs, consist of reverberating circuits of
neurons.
Our model of CAs is complex enough to show completion effects,
maintain activation, and learn patterns unsupervised.
CAs should be able to exhibit rule-like behaviour, hierarchies, and
choice when given ambiguous input.
The complex recurrent activity is unlike other artificial
neural networks.