Table · dataset · 2025
Decoding Temporal Features of Birdsong Through Neural Activity Analysis
Listed in Edmond
Overview This repository contains every dataset, analysis output and visualisation that support the manuscript “Decoding Temporal Features of Birdsong Through Neural Activity Analysis” by Amirmasoud Ahmadi, Hermina Robotka, Manfred Gahr and Frederic Theunissen (2025).
Description
Neural activity was recorded in the auditory pallium of adult zebra finches while they listened to unfamiliar conspecific songs. All archives are provided as .mat, .csv or .avi files to maximise cross-platform usability. 1 · Decoding Results LFP_Decoding_Results.zip: predictions of Events, Envelopes and Landmarks from local-field potentials.
MUAe_Decoding_Results.zip: identical analyses on multi-unit activity envelopes. LFP + MUAe_Decoding_Results.zip: performance obtained when LFP and MUAe feature vectors are concatenated. 2 · Single-Unit Responses Single_Unit_Response_To_Song_Playback.zip supplies spike trains and peri-stimulus time histograms for 423 well-isolated neurons, enabling cell-by-cell comparisons with the population-based decoders. 3 · SUMMARY TABLES (KEY DATASET) Summary_Results_Table.zip compiles the headline decoding statistics in three clearly labelled folders: LFP/ LFP_EventDetection.csv LFP_Env.csv LFP_EnvelopeLandmarks.csv MUAe/ MUAe_EventDetection.csv MUAe_Env.csv MUAe_EnvelopeLandmarks.csv Fusion (LFP_MUAe)/ Fusion_EventDetection.csv Fusion_Env.csv Fusion_EnvelopeLandmarks.csv Each file reports overall accuracy, Cohen kappa, syllable-level and silent-period accuracies, together with full metadata (Birds_Name, Sex_Birds, Song_Number, Depth_Record, etc.).
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These metrics reproduce the numbers in Table 1 of the manuscript. 4 · Figure Source Data Six archives (Figure2_Data.zip, Figure3_Data.zip, Figure4_Data.zip, Figure5_Data.zip, Figure6_Data.zip, Figure7_Data.zip) recreate every panel of the main figures. SupFig_Data.zip holds all supplementary figure data. Each archive contains MATLAB matrices and comma-separated tables. 5 · Supplementary Video Figure4_3D_Video.zip contains an .avi 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 www.youtube.com/@Amir_Channel_Sci. 6 · Code Availability All scripts that generate the manuscript figures and the core routines used for neural-signal processing are openly available at github.com/amirmasoud92/ZF_Neural_Decoding. Please cite both the manuscript and this dataset if you reuse any of these files.
Links
Where it is published
- Dataverse dataset page edmond.mpg.de/dataset.xhtml?persistentId=doi%3A10.17617%2F3.AUMDAU ↗
landing page · from edmond mpdl mpg de
- DOI doi.org/10.17617/3.aumdau ↗
DOI / persistent id · from edmond mpdl mpg de
Catalogue records · 1
- Dataverse API edmond.mpg.de/api/datasets/:persistentId/?persistentId=doi%3A10.17617%2F3.AU… ↗
metadata API · from edmond mpdl mpg de
Topics
- Stated by source
- Biology · Biology · Computer Science, Systems and Electrical Engineering · Computer Science, Systems and Electrical Engineering · Mathematics · Mathematics · Physics · Physics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Engineering · Humanities · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Physics · Physics · Social Science
- Inferred from text
- Neurosciences 72% · Tabular 65% · Video 75%
Provenance · 2 source records, 36 field assertions
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|---|---|---|---|
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| Edmond | doi:10.17617/3.AUMDAU | 9 d ago | JSON v1 |
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