Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion
Abstract
This paper briefly describes an artificial neural network for preattentive visual processing. The network is capable of determiuing image motioll in a type of stimulus which defeats most popular methods of motion detect.ion - a subset of second-order visual motion stimuli known as drift-balanced stimuli(DBS). The processing st.ages of the network described in this paper are integratable into a model capable of simultaneous motion extractioll. edge detection, and the determination of occlusion.
Cite
Text
Viola et al. "Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion." Neural Information Processing Systems, 1991.Markdown
[Viola et al. "Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion." Neural Information Processing Systems, 1991.](https://mlanthology.org/neurips/1991/viola1991neurips-recurrent/)BibTeX
@inproceedings{viola1991neurips-recurrent,
title = {{Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion}},
author = {Viola, Paul A. and Lisberger, Stephen G. and Sejnowski, Terrence J.},
booktitle = {Neural Information Processing Systems},
year = {1991},
pages = {380-387},
url = {https://mlanthology.org/neurips/1991/viola1991neurips-recurrent/}
}