Synchronization in Neural Nets
Abstract
The paper presents an artificial neural network concept (the Synchronizable Oscillator Networks) where the instants of individual firings in the form of point processes constitute the only form of information transmitted between joining neurons. This type of communication contrasts with that which is assumed in most other models which typically are continuous or discrete value-passing networks. Limiting the messages received by each processing unit to time markers that signal the firing of other units presents significant implemen tation advantages.
Cite
Text
Vidal and Haggerty. "Synchronization in Neural Nets." Neural Information Processing Systems, 1987.Markdown
[Vidal and Haggerty. "Synchronization in Neural Nets." Neural Information Processing Systems, 1987.](https://mlanthology.org/neurips/1987/vidal1987neurips-synchronization/)BibTeX
@inproceedings{vidal1987neurips-synchronization,
title = {{Synchronization in Neural Nets}},
author = {Vidal, Jacques J. and Haggerty, John},
booktitle = {Neural Information Processing Systems},
year = {1987},
pages = {824-829},
url = {https://mlanthology.org/neurips/1987/vidal1987neurips-synchronization/}
}