Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
410964 | Neurocomputing | 2006 | 13 Pages |
Abstract
In this paper we show that an unsupervised two-layered oscillatory neural network with inter- and intra-layer connections, and a learning rule based on stimulus difference can behave as a dynamic link matching machine for invariant pattern recognition. We show that this architecture is robust to affine transformations. We call this architecture oscillatory dynamic link matching (ODLM). We use DEVS (discrete-event simulation) to increase simulation speed by updating the network only at instants when an internal or external stimulus is applied to neurons.1
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ramin Pichevar, Jean Rouat, Le Tan Thanh Tai,