Understanding Auditory Spectro-Temporal Receptive Fields and Their Changes with Input Statistics by Efficient Coding Principles
Figure 3
Simulation of the efficient spectral kernel SRF, when the temporal dimension is omitted.
(A) 250 samples of input spectra , each of which is smoothed Gaussian white noise in the frequency domain (equations (11–13),
). (B) Correlation between different frequency channels
. Left: Correlation
; Right: an zoomed-in view, as
vs
. (C) Ten examples of eigenvectors
of the correlation matrix
in B; each is an independent component in
. Smaller indices
are associated with larger eigenvalues. (D) Gain profile (peaking at
), and signal and noise power in decorrelated channels. (E) Four examples (
,
,
, and
) of spectral receptive fields
; each prefers input frequencies around
.