Utilizing Lime: Asynchronous Binding
Abstract
Historically, connectionist systems have not excelled at represent(cid:173) ing and manipulating complex structures. How can a system com(cid:173) posed of simple neuron-like computing elements encode complex relations? Recently, researchers have begun to appreciate that rep(cid:173) resentations can extend in both time and space. Many researchers have proposed that the synchronous firing of units can encode com(cid:173) plex representations. I identify the limitations of this approach and present an asynchronous model of binding that effectively rep(cid:173) resents complex structures. The asynchronous model extends the synchronous approach. I argue that our cognitive architecture uti(cid:173) lizes a similar mechanism.
Cite
Text
Love. "Utilizing Lime: Asynchronous Binding." Neural Information Processing Systems, 1998.Markdown
[Love. "Utilizing Lime: Asynchronous Binding." Neural Information Processing Systems, 1998.](https://mlanthology.org/neurips/1998/love1998neurips-utilizing/)BibTeX
@inproceedings{love1998neurips-utilizing,
title = {{Utilizing Lime: Asynchronous Binding}},
author = {Love, Bradley C.},
booktitle = {Neural Information Processing Systems},
year = {1998},
pages = {38-44},
url = {https://mlanthology.org/neurips/1998/love1998neurips-utilizing/}
}