A Cortical Interpretation of ASSOMs

N. Mayer, M. Herrmann, H.-U. Bauer, T. Geisel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationICANN 98
Subtitle of host publicationProceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998
EditorsLars Niklasson, Mikael Bodén, Tom Ziemke
Place of PublicationLondon
PublisherSpringer
Pages961-966
Number of pages6
ISBN (Electronic)978-1-4471-1599-1
ISBN (Print)978-3-540-76263-8
DOIs
Publication statusPublished - 1998

Publication series

NamePerspectives in Neural Computing
PublisherSpringer London
ISSN (Print)1431-6854

Fingerprint

Dive into the research topics of 'A Cortical Interpretation of ASSOMs'. Together they form a unique fingerprint.

Cite this