10.1371/journal.pcbi.1003564.g006
Sven Dähne
Sven
Dähne
Niko Wilbert
Niko
Wilbert
Laurenz Wiskott
Laurenz
Wiskott
Emergence of phase invariance.
Public Library of Science
2014
Computational biology
computational neuroscience
Coding mechanisms
developmental biology
morphogenesis
Pattern formation
neuroscience
Sensory systems
Visual system
2014-05-08 02:54:31
Figure
https://plos.figshare.com/articles/figure/_Emergence_of_phase_invariance_/1020116
<p>The two top rows correspond to the most phase invariant SFA units, the bottom row to a unit whose response is phase dependent. Phase dependence of the linear and the quadratic term as well as their sum is depicted in the first column. The second column shows the two ends of the eigenvalue spectrum of <b>H</b>. Eigenvalues are sorted from highest to lowest, then their absolute values are plotted. Columns three and five show the eigenvectors that belong to the four largest, respectively smallest, eigenvalues, plotted as images. Columns four and six show the corresponding Fourier amplitude spectra. The last column shows the linear component of the quadratic form plotted as an image.</p>