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.

You might say the brain is our most photogenic organ. We are, thanks to modern neuroimaging, living amid an explosion of brain data. Just consider: We can zoom into the brain's connectivity to the most minute, molecular level. We can trace individual cells as well as entire cell populations. We can turn neurons on and off just like a light switch.

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.