Self-Organization of a Neural Network Which Gives Position-Invariant Response
Abstract
This tutorial review details some of the recent advances in signal analyses applied to event-related potential (ERP) data. These "electrical neuroimaging" analyses provide reference-independent measurements of response strength and response topography that circumvent statistical and interpretational caveats of canonical ERP analysis methods while also taking advantage of the greater information provided by high-density electrode montages. Electrical neuroimaging can be applied across scales ranging from group-averaged ERPs to single-subject and single-trial datasets. We illustrate these methods with a tutorial dataset and place particular emphasis on their suitability for studies of clinical and/or developmental populations.
Cite
Text
Fukushima. "Self-Organization of a Neural Network Which Gives Position-Invariant Response." International Joint Conference on Artificial Intelligence, 1979. doi:10.1080/87565641.2011.636851Markdown
[Fukushima. "Self-Organization of a Neural Network Which Gives Position-Invariant Response." International Joint Conference on Artificial Intelligence, 1979.](https://mlanthology.org/ijcai/1979/fukushima1979ijcai-self/) doi:10.1080/87565641.2011.636851BibTeX
@inproceedings{fukushima1979ijcai-self,
title = {{Self-Organization of a Neural Network Which Gives Position-Invariant Response}},
author = {Fukushima, Kunihiko},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1979},
pages = {291-293},
doi = {10.1080/87565641.2011.636851},
url = {https://mlanthology.org/ijcai/1979/fukushima1979ijcai-self/}
}