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.