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/}
}