DOI: 10.17617/3.aumdau
title: Decoding Temporal Features of Birdsong Through Neural Activity Analysis

description: &lt;!-- ✨ Dataset Description for
 “Decoding Temporal Features of Birdsong Through Neural Activity Analysis” (Ahmadi et al., 2025) --&gt;
&lt;h2&gt;Overview&lt;/h2&gt;
&lt;p&gt;
 This repository contains every dataset, analysis output and visualisation that
 support the manuscript &lt;strong&gt;“Decoding Temporal Features of Birdsong Through Neural
 Activity Analysis”&lt;/strong&gt; by &lt;em&gt;Amirmasoud Ahmadi, Hermina Robotka, Manfred Gahr
 and Frederic Theunissen (2025)&lt;/em&gt;. Neural activity was recorded in the auditory
 pallium of adult zebra finches while they listened to unfamiliar conspecific songs.
 All archives are provided as &lt;code&gt;.mat&lt;/code&gt;, &lt;code&gt;.csv&lt;/code&gt; or
 &lt;code&gt;.avi&lt;/code&gt; files to maximise cross-platform usability.
&lt;/p&gt;

&lt;h2&gt;1 · Decoding Results&lt;/h2&gt;
&lt;ul&gt;
 &lt;li&gt;&lt;code&gt;LFP_Decoding_Results.zip&lt;/code&gt;: predictions of &lt;em&gt;Events&lt;/em&gt;,
 &lt;em&gt;Envelopes&lt;/em&gt; and &lt;em&gt;Landmarks&lt;/em&gt; from local-field potentials.&lt;/li&gt;
 &lt;li&gt;&lt;code&gt;MUAe_Decoding_Results.zip&lt;/code&gt;: identical analyses on multi-unit
 activity envelopes.&lt;/li&gt;
 &lt;li&gt;&lt;code&gt;LFP + MUAe_Decoding_Results.zip&lt;/code&gt;: performance obtained when
 LFP and MUAe feature vectors are concatenated.&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;2 · Single-Unit Responses&lt;/h2&gt;
&lt;p&gt;
 &lt;code&gt;Single_Unit_Response_To_Song_Playback.zip&lt;/code&gt; supplies spike trains and
 peri-stimulus time histograms for &lt;strong&gt;423&lt;/strong&gt; well-isolated neurons,
 enabling cell-by-cell comparisons with the population-based decoders.
&lt;/p&gt;

&lt;!-- 🔥 THE MOST IMPORTANT RESULTS AT A GLANCE 🔥 --&gt;
&lt;h2&gt;&lt;strong&gt;3 · SUMMARY TABLES (KEY DATASET)&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;
 &lt;code&gt;Summary_Results_Table.zip&lt;/code&gt; compiles the headline decoding statistics in
 three clearly labelled folders:
&lt;/p&gt;
&lt;ul&gt;
 &lt;li&gt;&lt;strong&gt;LFP/&lt;/strong&gt;
 &lt;ul&gt;
 &lt;li&gt;&lt;code&gt;LFP_EventDetection.csv&lt;/code&gt;&lt;/li&gt;
 &lt;li&gt;&lt;code&gt;LFP_Env.csv&lt;/code&gt;&lt;/li&gt;
 &lt;li&gt;&lt;code&gt;LFP_EnvelopeLandmarks.csv&lt;/code&gt;&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;MUAe/&lt;/strong&gt;
 &lt;ul&gt;
 &lt;li&gt;&lt;code&gt;MUAe_EventDetection.csv&lt;/code&gt;&lt;/li&gt;
 &lt;li&gt;&lt;code&gt;MUAe_Env.csv&lt;/code&gt;&lt;/li&gt;
 &lt;li&gt;&lt;code&gt;MUAe_EnvelopeLandmarks.csv&lt;/code&gt;&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Fusion (LFP_MUAe)/&lt;/strong&gt;
 &lt;ul&gt;
 &lt;li&gt;&lt;code&gt;Fusion_EventDetection.csv&lt;/code&gt;&lt;/li&gt;
 &lt;li&gt;&lt;code&gt;Fusion_Env.csv&lt;/code&gt;&lt;/li&gt;
 &lt;li&gt;&lt;code&gt;Fusion_EnvelopeLandmarks.csv&lt;/code&gt;&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;
 Each file reports overall accuracy, Cohen kappa, syllable-level and silent-period
 accuracies, together with full metadata (&lt;code&gt;Birds_Name&lt;/code&gt;,
 &lt;code&gt;Sex_Birds&lt;/code&gt;, &lt;code&gt;Song_Number&lt;/code&gt;, &lt;code&gt;Depth_Record&lt;/code&gt;, etc.).
 These metrics reproduce the numbers in Table 1 of the manuscript.
&lt;/p&gt;

&lt;h2&gt;4 · Figure Source Data&lt;/h2&gt;
&lt;p&gt;
 Six archives (&lt;code&gt;Figure2_Data.zip&lt;/code&gt;, &lt;code&gt;Figure3_Data.zip&lt;/code&gt;,
 &lt;code&gt;Figure4_Data.zip&lt;/code&gt;, &lt;code&gt;Figure5_Data.zip&lt;/code&gt;,
 &lt;code&gt;Figure6_Data.zip&lt;/code&gt;, &lt;code&gt;Figure7_Data.zip&lt;/code&gt;) recreate every panel of
 the main figures. &lt;code&gt;SupFig_Data.zip&lt;/code&gt; holds all supplementary figure data.
 Each archive contains MATLAB matrices and comma-separated tables.
&lt;/p&gt;

&lt;h2&gt;5 · Supplementary Video&lt;/h2&gt;
&lt;p&gt;
 &lt;code&gt;Figure4_3D_Video.zip&lt;/code&gt; contains an &lt;code&gt;.avi&lt;/code&gt; file showing a
 rotating three-dimensional map of decoding accuracy across recording sites,
 corresponding to Figure 4 of the paper. 
 Additional demonstration videos related to the study can be found on YouTube at 
 &lt;a href="https://www.youtube.com/@Amir_Channel_Sci"
 target="_blank" rel="noopener"&gt;www.youtube.com/@Amir_Channel_Sci&lt;/a&gt;.
&lt;/p&gt;

&lt;h2&gt;6 · Code Availability&lt;/h2&gt;
&lt;p&gt;
 All scripts that generate the manuscript figures and the core routines used for
 neural-signal processing are openly available at
 &lt;a href="https://github.com/amirmasoud92/ZF_Neural_Decoding"
 target="_blank" rel="noopener"&gt;https://github.com/amirmasoud92/ZF_Neural_Decoding&lt;/a&gt;.
&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Please cite both the manuscript and this dataset if you reuse any of these files.&lt;/em&gt;&lt;/p&gt;