Geometry and dimensionality reduction of feature spaces in primary visual cortex

Davide Barbieri

doi:10.1117/12.2187026

14 September 2015 Geometry and dimensionality reduction of feature spaces in primary visual cortex

Davide Barbieri

Proceedings Volume 9597, Wavelets and Sparsity XVI; 95970J (2015) https://doi.org/10.1117/12.2187026
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

Abstract

Some geometric properties of the wavelet analysis performed by visual neurons are discussed and compared with experimental data. In particular, several relationships between the cortical morphologies and the parametric dependencies of extracted features are formalized and considered from a harmonic analysis point of view.

Citation Download Citation

Davide Barbieri "Geometry and dimensionality reduction of feature spaces in primary visual cortex", Proc. SPIE 9597, Wavelets and Sparsity XVI, 95970J (14 September 2015); https://doi.org/10.1117/12.2187026

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