j_hartling/paper_2025
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Lots of stuff. Syncing to home.

Browse Source
This commit is contained in:
j-hartling
2026-03-20 16:45:54 +01:00
parent 1516fe6090
commit a276883454
28 changed files with 1106 additions and 562 deletions
Download Patch File Download Diff File Expand all files Collapse all files

34
main.tex
View File

@@ -660,7 +660,7 @@ the signal for reliable song recognition.
feature $f_i(t)$. Threshold value $\thr$ is set to
different percentiles of the the distribution of $c_i(t)$
at $\sca=1$. Darker colors indicate higher values of
$\thr$. Indicated time scale of $500\,$ms is the same for
$\thr$. Indicated time scale of $100\,$ms is the same for
\textbf{a}-\textbf{c} (black bar).
\textbf{a}:~50th percentile.
\textbf{b}:~75th percentile.
@@ -684,7 +684,7 @@ the signal for reliable song recognition.
$f_i(t)$. Threshold value $\thr$ is set to different
percentiles of the the distribution of $c_i(t)$ at
$\sca=1$. Darker colors indicate higher values of $\thr$.
Indicated time scale of $500\,$ms is the same for
Indicated time scale of $100\,$ms is the same for
\textbf{a}-\textbf{c} (black bar).
\textbf{a}:~50th percentile.
\textbf{b}:~75th percentile.
@@ -696,6 +696,26 @@ the signal for reliable song recognition.
\end{figure}
\FloatBarrier
\begin{figure}[!ht]
\centering
\includegraphics[width=\textwidth]{figures/fig_invariance_thresh_lp_species.pdf}
\caption{\textbf{Feature representation of different species-specific songs
saturates at different points in feature space.}
}
\label{fig:inv_thresh-lp_species}
\end{figure}
\FloatBarrier
\begin{figure}[!ht]
\centering
\includegraphics[width=\textwidth]{figures/fig_invariance_full.pdf}
\caption{\textbf{Step-wise emergence of intensity invariant song
representation along the model pathway.}
}
\label{fig:inv_thresh-lp_full}
\end{figure}
\FloatBarrier
The second key mechanism for the emergence of intensity invariance along the
model pathway takes place during the transformation of the kernel responses
$c_i(t)$ over the binary responses $b_i(t)$ into the finalized features
@@ -844,4 +864,14 @@ $\rightarrow$ Graded again but highly decorrelated from the acoustic stimulus\\
$\rightarrow$ Parameters of a behavioral response may be graded (e.g. approach speed),
initiation of one behavior over another is categorical (e.g. approach/stay)
\begin{figure}[!ht]
\centering
\includegraphics[width=\textwidth]{figures/fig_noise_env_sd_conversion.pdf}
\caption{\textbf{}
}
\label{}
\end{figure}
\FloatBarrier
\end{document}