@inproceedings{a35fb122d7084e209813157661ea9ebb,
title = "A Cortical Interpretation of ASSOMs",
abstract = "Self-organizing maps have been successfully used to model map formation in the visual cortex of mammals. When applying natural images as stimuli, properties of the maps obtained for low-dimensional input manifolds, such as retinotopy, are not equally well reproducible. The present study points to the virtues of the adaptive subspace self-organizing map (ASSOM) in modeling neural maps. Since the representation of position and orientation and that of stimulus phase are automatically mapped to different hierarchical levels of the ASSOM, topography is established for orientation and position, but not for phases. This agrees to evidence for the absence of smooth phase maps. Further, we show that some biologically implausible conditions of the ASSOM rule can be relaxed.",
author = "N. Mayer and M. Herrmann and H.-U. Bauer and T. Geisel",
year = "1998",
doi = "10.1007/978-1-4471-1599-1\_150",
language = "English",
isbn = "978-3-540-76263-8",
series = "Perspectives in Neural Computing",
publisher = "Springer",
pages = "961--966",
editor = "Lars Niklasson and Mikael Bod{\'e}n and Tom Ziemke",
booktitle = "ICANN 98",
address = "United Kingdom",
}