Writing discussion.

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j-hartling
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@@ -1781,56 +1781,99 @@ constant output intensity without sacrificing some of the corresponding input
SNR. This suggests that the trade-off is a more general principle that applies
to any transformation that achieves or improves intensity invariance.
% Dependence of thresh-LP intensity invariance on threshold value (+unlimited SNR):
The second mechanism of intensity invariance consists of thresholding and
temporal averaging of $c_i(t)$ into $f_i(t)$. Here, the trade-off between
intensity invariance and SNR is mediated by the threshold value $\thr$. A lower
intensity invariance and SNR is mediated by the threshold value $\thr$. The
effects of $\thr$ on the intensity invariance and SNR of $f_i(t)$ are best
assessed if the mechanism is initially viewed in isolation. A lower
$\thr$~($\thr\to0$) improves the intensity invariance of $f_i(t)$ by shifting
the saturation point towards lower $\sca$. However, a lower $\thr$ also raises
the noise floor of $f_i(t)$ by including more of the pure-noise $c_i(t)$, which
decreases the SNR of $f_i(t)$. The distribution $\pci$ of the pure-noise
$c_i(t)$ is very close to a normal distribution with mean $\mu\approx0$ for all
kernels $k_i(t)$. The value of the pure-noise $f_i(t)$ is hence 0.5 for
kernels in the set. The value of the pure-noise $f_i(t)$ is hence 0.5 for
$\thr=0$ and decreases for higher $\thr$. If $\thr$ is set above the maximum of
$c_i(t)$, the pure-noise feature value is 0, which results in an "unlimited"
SNR of $f_i(t)$. In this case, any non-zero feature value that is sustained for
a sufficient duration could serve as indicator for the presence of $\soc(t)$ in
$\raw(t)$, although at the cost of a higher saturation point. Of course, this
would require a fine evolutionary tuning of $\thr$ to the properties of the
natural noise in a certain habitat to avoid false positives.
$\raw(t)$. Of course, this would require a fine evolutionary tuning of $\thr$
to the properties of the natural noise in a certain habitat to avoid false
positives.
The saturation level of $f_i(t)$ is independent of $\thr$ as long as the
intensity invariance by the previous mechanism is neglected.
% Interaction between the two mechanisms of intensity invariance:
% (Also: Extremely important, but maybe too wordy?)
The combined effect of the two consecutive mechanisms of intensity invariance
depends on which mechanism results in a lower saturation point. In case of
$f_i(t)$, it is necessary to distinguish between its intrinsic saturation
point~(the saturation point that the second mechanism can achieve in isolation)
and its actual saturation point~(including the effects of the first mechanism).
The same distinction applies to the saturation level of $f_i(t)$. The intrinsic
saturation point of $f_i(t)$ increases with increasing $\thr$. The intrinsic
saturation level of $f_i(t)$ is largely independent of $\thr$, assuming that
$\thr$ is sufficiently small or $\sca$ is sufficiently large. If the intrinsic
saturation point of $f_i(t)$ is lower than the saturation point of $\adapt(t)$,
the second mechanism will take precedence over the first mechanism. In this
case, $f_i(t)$ will reach the intrinsic saturation level at the intrinsic
saturation point. In contrast, if the intrinsic saturation point of $f_i(t)$ is
higher than the saturation point of $\adapt(t)$, the first mechanism will take
precedence over the second mechanism. In this case, the actual saturation point
of $f_i(t)$ will be determined by the saturation point of $\adapt(t)$ rather
than the intrinsic saturation point of $f_i(t)$. This has no detrimental effect
on the intensity invariance of $f_i(t)$. However, a lower saturation point of
$f_i(t)$ means that the actual saturation level of $f_i(t)$ will be lower than
its intrinsic saturation level. Moreover, the saturation level of $f_i(t)$ will
not be independent of $\thr$ anymore but will decrease with increasing $\thr$.
A lower saturation level of $f_i(t)$ does not necessarily impair the SNR of
$f_i(t)$ --- $f_i(t)$ can still achieve an arbitrarily high SNR by setting
$\thr$ just above the maximum pure-noise $c_i(t)$. However, a lower saturation
level of $f_i(t)$ does mean that the range of possible feature values that
$f_i(t)$ can take on is restricted compared to the case where $f_i(t)$ can
reach its intrinsic saturation level. In summary, the interaction between the
two mechanisms of intensity invariance along the pathway can have unfavorable
consequences for the overall system if the first mechanism takes precedence
over the second mechanism. However, this interaction does not so much affect
the intensity invariance or the SNR of $f_i(t)$ but rather constraints the part
of the feature space that is available for species-specific song
representation.
% Check log-axis histogram counts!
% Why do so many features have a lower saturation point than adapt if so many
% do not reach the intrinsic saturation level??
Judging from the distribution of saturation points across the set of $f_i(t)$,
both interactions between the two mechanisms appear to be present in the
current pathway. A number of $f_i(t)$ achieve a lower saturation point than
$\adapt(t)$, which indicates that the second mechanism takes precedence over
the first mechanism. These cases raise the question whether the first mechanism
is actually necessary for the overall system if the second mechanism can
apparently achieve intensity invariance with a lower saturation point. There
are also some $f_i(t)$ whose saturation point matches the saturation point of
$\adapt(t)$, which indicates that the first mechanism takes precedence over the
second mechanism. These cases raise the question whether intensity invariance
by the first mechanism --- while achieving a lower saturation point than the
second mechanism --- is actually beneficial
The saturation point of $f_i(t)$ varies between different kernels in the set. A
number of $f_i(t)$ achieve a lower saturation point than $c_i(t)$ --- and hence a lower saturation point than $\adapt(t)$ --- which
indicates that the second mechanism takes precedence over the first mechanism.
Some $f_i(t)$ exhibit similar or only marginally lower saturation points than
If $f_i(t)$ can achieve an arbitrarily high SNR, it can counteract the
comparably low SNR of $\adapt(t)$
The maximum of the pure-noise $c_i(t)$ is assumed to be very
small due to the various SNR improvements along the pathway, so that the
required increase in $\thr$ and hence the saturation point of $f_i(t)$ is not
expected to be substantial.
% \newpage
% \subsection{Intensity invariance versus intensity invariance}
Two consecutive mechanisms of intensity invariance do not necessarily add up to
a stronger overall intensity invariance. If the first mechanism results in a
lower saturation point than the second mechanism by itself, the saturation
point of feature $f_i(t)$ will be determined solely by the first mechanism. In
this case, the saturation level of $f_i(t)$ will conform to the intensity that
$f_i(t)$ can reach for the given saturation point rather than the intrinsic
saturation level of $f_i(t)$. Conversely, if the second mechanism results in a
lower saturation point than the first mechanism, both the saturation point and
the saturation level of $f_i(t)$ will be determined by the second mechanism.
The saturation points of $f_i(t)$ across the set are distributed over a much
wider range than those of the preceeding kernel responses $c_i(t)$, which
suggests that the interaction between the two mechanisms is specific to
individual kernels. A number of $f_i(t)$ achieve a lower saturation point than
the respective $c_i(t)$, whereas some $f_i(t)$ exhibit similar or only
marginally lower saturation points. In these cases, the question arises to what
extent two consecutive mechanisms of intensity invariance are actually
beneficial for the overall system.
wider range than those of the preceeding $c_i(t)$,
which suggests that the
interaction between the two mechanisms is specific to individual kernels. A
number of $f_i(t)$ achieve a lower saturation point than the respective
$c_i(t)$,
whereas some $f_i(t)$ exhibit similar or only marginally lower
saturation points.
In these cases, the question arises to what extent two
consecutive mechanisms of intensity invariance are actually beneficial for the
overall system.
From a computational perspective, the answer could be that logarithmic
compression and adaptation is a necessary preprocessing step towards robust