Recurrent networks of threshold elements have been studied inten(cid:173) sively as associative memories and pattern-recognition devices. While most research has concentrated on fully-connected symmetric net(cid:173) works. These net(cid:173) works can show fixed-point. The approach also provides qualitative insight into why the system behaves as it does and suggests possible applications.

Recurrent networks of threshold elements have been studied intensively as associative memories and pattern-recognition devices. While most research has concentrated on fully-connected symmetric networks.

Recurrent networks of threshold elements have been studied intensively asassociative memories and pattern-recognition devices. While most research has concentrated on fully-connected symmetric networks.