Attractor Nets
- Our Cell Assembly networks are types of attractor networks.
- The most commonly known attractor net is the Hopfield net.
- The idea is that a network is presented a stimulus, and
the network settles into a stable state that categorises
the input.
- A lot of theoretical mileage has been gained from physicists
who study complex models of large number of atomic interactions.
- Hopfield himself is a physicist, and the similarity between
a large number of neurons and a large number of atoms is
not too difficult to see.
- A particularly good work on this is Modelling Brain Function:
the world of attractor neural networks by Daniel Amit.
