Sequential Recall

Josh Chover, UW Mathematics

2:30 pm Fri Nov 15 2310 CS & Stats

I'll discuss a simple two-layer neural network model which has sparse forward, lateral, and feedback connections. Simulations demonstrate an ability for quick recall of a sequence of overlapping inputs, given an initial prompt--inputs learned in an unsupervised way. The dynamics are not based on iteration to a limit. The model suggests roles for biological counterparts, such as modifiable and non-modifiable channels.