# Show Reference: "Invariant representations of visual patterns in a temporal population code."

Invariant representations of visual patterns in a temporal population code. Proceedings of the National Academy of Sciences of the United States of America, Vol. 100, No. 1. (7 January 2003), pp. 324-329, doi:10.1073/pnas.0136977100 by Reto Wyss, Peter König, Paul F. M. J. Verschure
@article{wyss-et-al-2003,
abstract = {Mammalian visual systems are characterized by their ability to recognize stimuli invariant to various transformations. Here, we investigate the hypothesis that this ability is achieved by the temporal encoding of visual stimuli. By using a model of a cortical network, we show that this encoding is invariant to several transformations and robust with respect to stimulus variability. Furthermore, we show that the proposed model provides a rapid encoding, in accordance with recent physiological results. Taking into account properties of primary visual cortex, the application of the encoding scheme to an enhanced network demonstrates favorable scaling and high performance in a task humans excel at.},
address = {Institute of Neuroinformatics, University of Z\"{u}rich and Swiss Federal Institute of Technology, Switzerland. rwyss@ini.unizh.ch},
author = {Wyss, Reto and K\"{o}nig, Peter and Verschure, Paul F. M. J.},
day = {7},
doi = {10.1073/pnas.0136977100},
issn = {0027-8424},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
keywords = {ann, slam, visual, visual-processing},
month = jan,
number = {1},
pages = {324--329},
pmcid = {PMC140966},
pmid = {12502790},
posted-at = {2012-04-18 08:19:52},
priority = {2},
title = {Invariant representations of visual patterns in a temporal population code.},
url = {http://dx.doi.org/10.1073/pnas.0136977100},
volume = {100},
year = {2003}
}