A Neural Network for Motion Detection of Drift-Balanced Stimuli
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
Tunley. "A Neural Network for Motion Detection of Drift-Balanced Stimuli." Neural Information Processing Systems, 1991.Markdown
[Tunley. "A Neural Network for Motion Detection of Drift-Balanced Stimuli." Neural Information Processing Systems, 1991.](https://mlanthology.org/neurips/1991/tunley1991neurips-neural/)BibTeX
@inproceedings{tunley1991neurips-neural,
title = {{A Neural Network for Motion Detection of Drift-Balanced Stimuli}},
author = {Tunley, Hilary},
booktitle = {Neural Information Processing Systems},
year = {1991},
pages = {714-721},
url = {https://mlanthology.org/neurips/1991/tunley1991neurips-neural/}
}