A Simple Algorithm for Topographic ICA

Ewaldo Santana, Allan Kardec Barros, Christian Jutten, Eder Santana, Luis Claudio Oliveira


A number of algorithms have been proposed which find structures that resembles that of the visual cortex. However, most of the works require sophisticated computations and lack a rule for how the structure arises. This work presents an unsupervised model for finding topographic organization with a very easy and local learning algorithm. Using a simple rule in the algorithm, we can anticipate which kind of structure will result. When applied to natural images, this model yields an efficient code for natural images and the emergence of simple-cell-like receptive fields. Moreover, we conclude that the local interactions in spatially distributed systems and local optimization with norm L2 are sufficient to create sparse basis, which normally requires higher order statistics.


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Paper Citation

in Harvard Style

Santana E., Barros A., Jutten C., Santana E. and Oliveira L. (2016). A Simple Algorithm for Topographic ICA . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 150-155. DOI: 10.5220/0005683501500155

in Bibtex Style

author={Ewaldo Santana and Allan Kardec Barros and Christian Jutten and Eder Santana and Luis Claudio Oliveira},
title={A Simple Algorithm for Topographic ICA},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)},

in EndNote Style

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)
TI - A Simple Algorithm for Topographic ICA
SN - 978-989-758-170-0
AU - Santana E.
AU - Barros A.
AU - Jutten C.
AU - Santana E.
AU - Oliveira L.
PY - 2016
SP - 150
EP - 155
DO - 10.5220/0005683501500155