A Theory for Neural Networks with Time Delays
Abstract
We present a new neural network model for processing of temporal patterns. This model, the gamma neural model, is as general as a convolution delay model with arbitrary weight kernels w(t). We show that the gamma model can be formulated as a (partially prewired) additive model. A temporal hebbian learning rule is derived and we establish links to related existing models for temporal processing.
Cite
Text
de Vries and Príncipe. "A Theory for Neural Networks with Time Delays." Neural Information Processing Systems, 1990.Markdown
[de Vries and Príncipe. "A Theory for Neural Networks with Time Delays." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/devries1990neurips-theory/)BibTeX
@inproceedings{devries1990neurips-theory,
title = {{A Theory for Neural Networks with Time Delays}},
author = {de Vries, Bert and Príncipe, José Carlos},
booktitle = {Neural Information Processing Systems},
year = {1990},
pages = {162-168},
url = {https://mlanthology.org/neurips/1990/devries1990neurips-theory/}
}