English

Geometry and dimensionality reduction of feature spaces in primary visual cortex

Neurons and Cognition 2016-01-20 v1 Computer Vision and Pattern Recognition Group Theory

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.

Keywords

Cite

@article{arxiv.1509.03942,
  title  = {Geometry and dimensionality reduction of feature spaces in primary visual cortex},
  author = {Davide Barbieri},
  journal= {arXiv preprint arXiv:1509.03942},
  year   = {2016}
}
R2 v1 2026-06-22T10:55:37.744Z