Writing discussion.
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113
main.tex
113
main.tex
@@ -1781,56 +1781,99 @@ constant output intensity without sacrificing some of the corresponding input
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SNR. This suggests that the trade-off is a more general principle that applies
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to any transformation that achieves or improves intensity invariance.
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% Dependence of thresh-LP intensity invariance on threshold value (+unlimited SNR):
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The second mechanism of intensity invariance consists of thresholding and
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temporal averaging of $c_i(t)$ into $f_i(t)$. Here, the trade-off between
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intensity invariance and SNR is mediated by the threshold value $\thr$. A lower
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intensity invariance and SNR is mediated by the threshold value $\thr$. The
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effects of $\thr$ on the intensity invariance and SNR of $f_i(t)$ are best
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assessed if the mechanism is initially viewed in isolation. A lower
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$\thr$~($\thr\to0$) improves the intensity invariance of $f_i(t)$ by shifting
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the saturation point towards lower $\sca$. However, a lower $\thr$ also raises
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the noise floor of $f_i(t)$ by including more of the pure-noise $c_i(t)$, which
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decreases the SNR of $f_i(t)$. The distribution $\pci$ of the pure-noise
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$c_i(t)$ is very close to a normal distribution with mean $\mu\approx0$ for all
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kernels $k_i(t)$. The value of the pure-noise $f_i(t)$ is hence 0.5 for
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kernels in the set. The value of the pure-noise $f_i(t)$ is hence 0.5 for
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$\thr=0$ and decreases for higher $\thr$. If $\thr$ is set above the maximum of
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$c_i(t)$, the pure-noise feature value is 0, which results in an "unlimited"
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SNR of $f_i(t)$. In this case, any non-zero feature value that is sustained for
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a sufficient duration could serve as indicator for the presence of $\soc(t)$ in
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$\raw(t)$, although at the cost of a higher saturation point. Of course, this
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would require a fine evolutionary tuning of $\thr$ to the properties of the
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natural noise in a certain habitat to avoid false positives.
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$\raw(t)$. Of course, this would require a fine evolutionary tuning of $\thr$
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to the properties of the natural noise in a certain habitat to avoid false
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positives.
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The saturation level of $f_i(t)$ is independent of $\thr$ as long as the
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intensity invariance by the previous mechanism is neglected.
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% Interaction between the two mechanisms of intensity invariance:
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% (Also: Extremely important, but maybe too wordy?)
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The combined effect of the two consecutive mechanisms of intensity invariance
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depends on which mechanism results in a lower saturation point. In case of
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$f_i(t)$, it is necessary to distinguish between its intrinsic saturation
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point~(the saturation point that the second mechanism can achieve in isolation)
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and its actual saturation point~(including the effects of the first mechanism).
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The same distinction applies to the saturation level of $f_i(t)$. The intrinsic
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saturation point of $f_i(t)$ increases with increasing $\thr$. The intrinsic
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saturation level of $f_i(t)$ is largely independent of $\thr$, assuming that
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$\thr$ is sufficiently small or $\sca$ is sufficiently large. If the intrinsic
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saturation point of $f_i(t)$ is lower than the saturation point of $\adapt(t)$,
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the second mechanism will take precedence over the first mechanism. In this
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case, $f_i(t)$ will reach the intrinsic saturation level at the intrinsic
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saturation point. In contrast, if the intrinsic saturation point of $f_i(t)$ is
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higher than the saturation point of $\adapt(t)$, the first mechanism will take
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precedence over the second mechanism. In this case, the actual saturation point
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of $f_i(t)$ will be determined by the saturation point of $\adapt(t)$ rather
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than the intrinsic saturation point of $f_i(t)$. This has no detrimental effect
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on the intensity invariance of $f_i(t)$. However, a lower saturation point of
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$f_i(t)$ means that the actual saturation level of $f_i(t)$ will be lower than
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its intrinsic saturation level. Moreover, the saturation level of $f_i(t)$ will
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not be independent of $\thr$ anymore but will decrease with increasing $\thr$.
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A lower saturation level of $f_i(t)$ does not necessarily impair the SNR of
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$f_i(t)$ --- $f_i(t)$ can still achieve an arbitrarily high SNR by setting
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$\thr$ just above the maximum pure-noise $c_i(t)$. However, a lower saturation
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level of $f_i(t)$ does mean that the range of possible feature values that
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$f_i(t)$ can take on is restricted compared to the case where $f_i(t)$ can
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reach its intrinsic saturation level. In summary, the interaction between the
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two mechanisms of intensity invariance along the pathway can have unfavorable
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consequences for the overall system if the first mechanism takes precedence
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over the second mechanism. However, this interaction does not so much affect
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the intensity invariance or the SNR of $f_i(t)$ but rather constraints the part
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of the feature space that is available for species-specific song
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representation.
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% Check log-axis histogram counts!
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% Why do so many features have a lower saturation point than adapt if so many
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% do not reach the intrinsic saturation level??
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Judging from the distribution of saturation points across the set of $f_i(t)$,
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both interactions between the two mechanisms appear to be present in the
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current pathway. A number of $f_i(t)$ achieve a lower saturation point than
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$\adapt(t)$, which indicates that the second mechanism takes precedence over
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the first mechanism. These cases raise the question whether the first mechanism
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is actually necessary for the overall system if the second mechanism can
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apparently achieve intensity invariance with a lower saturation point. There
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are also some $f_i(t)$ whose saturation point matches the saturation point of
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$\adapt(t)$, which indicates that the first mechanism takes precedence over the
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second mechanism. These cases raise the question whether intensity invariance
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by the first mechanism --- while achieving a lower saturation point than the
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second mechanism --- is actually beneficial
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The saturation point of $f_i(t)$ varies between different kernels in the set. A
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number of $f_i(t)$ achieve a lower saturation point than $c_i(t)$ --- and hence a lower saturation point than $\adapt(t)$ --- which
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indicates that the second mechanism takes precedence over the first mechanism.
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Some $f_i(t)$ exhibit similar or only marginally lower saturation points than
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If $f_i(t)$ can achieve an arbitrarily high SNR, it can counteract the
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comparably low SNR of $\adapt(t)$
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The maximum of the pure-noise $c_i(t)$ is assumed to be very
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small due to the various SNR improvements along the pathway, so that the
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required increase in $\thr$ and hence the saturation point of $f_i(t)$ is not
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expected to be substantial.
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% \newpage
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% \subsection{Intensity invariance versus intensity invariance}
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Two consecutive mechanisms of intensity invariance do not necessarily add up to
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a stronger overall intensity invariance. If the first mechanism results in a
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lower saturation point than the second mechanism by itself, the saturation
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point of feature $f_i(t)$ will be determined solely by the first mechanism. In
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this case, the saturation level of $f_i(t)$ will conform to the intensity that
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$f_i(t)$ can reach for the given saturation point rather than the intrinsic
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saturation level of $f_i(t)$. Conversely, if the second mechanism results in a
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lower saturation point than the first mechanism, both the saturation point and
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the saturation level of $f_i(t)$ will be determined by the second mechanism.
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The saturation points of $f_i(t)$ across the set are distributed over a much
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wider range than those of the preceeding kernel responses $c_i(t)$, which
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suggests that the interaction between the two mechanisms is specific to
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individual kernels. A number of $f_i(t)$ achieve a lower saturation point than
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the respective $c_i(t)$, whereas some $f_i(t)$ exhibit similar or only
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marginally lower saturation points. In these cases, the question arises to what
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extent two consecutive mechanisms of intensity invariance are actually
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beneficial for the overall system.
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wider range than those of the preceeding $c_i(t)$,
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which suggests that the
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interaction between the two mechanisms is specific to individual kernels. A
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number of $f_i(t)$ achieve a lower saturation point than the respective
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$c_i(t)$,
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whereas some $f_i(t)$ exhibit similar or only marginally lower
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saturation points.
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In these cases, the question arises to what extent two
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consecutive mechanisms of intensity invariance are actually beneficial for the
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overall system.
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From a computational perspective, the answer could be that logarithmic
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compression and adaptation is a necessary preprocessing step towards robust
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