Abstract
The energy detection model in the preceding chapter can easily be modified to incorporate topography, i.e. an arrangement of the features on a two-dimensional grid. This is very interesting because such organization is one of the most prominent phenomena found in the primary visual cortex. In this chapter, we shall investigate such a topographic version of the ICA model. It is, mathematically, a rather simple modification of the independent subspace analysis model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag London Limited
About this chapter
Cite this chapter
Hyvärinen, A., Hurri, J., Hoyer, P.O. (2009). Energy Correlations and Topographic Organization. In: Natural Image Statistics. Computational Imaging and Vision, vol 39. Springer, London. https://doi.org/10.1007/978-1-84882-491-1_11
Download citation
DOI: https://doi.org/10.1007/978-1-84882-491-1_11
Publisher Name: Springer, London
Print ISBN: 978-1-84882-490-4
Online ISBN: 978-1-84882-491-1
eBook Packages: Computer ScienceComputer Science (R0)