Supplementary material from "Network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song"

Vocal communication systems have a set of rules that govern the arrangement of acoustic signals, broadly defined as ‘syntax’. However, there is a limited understanding of potentially shared or analogous rules across vocal displays in different taxa. Recent work on songbirds has investigated syntax u...

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Main Authors: Allen, Jenny A., Garland, Ellen C., Dunlop, Rebecca A., Noad, Michael J.
Format: Article in Journal/Newspaper
Language:unknown
Published: The Royal Society 2019
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.c.4765586.v1
https://rs.figshare.com/collections/Supplementary_material_from_Network_analysis_reveals_underlying_syntactic_features_in_a_vocally_learnt_mammalian_display_humpback_whale_song_/4765586/1
id ftdatacite:10.6084/m9.figshare.c.4765586.v1
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.c.4765586.v1 2023-05-15T16:36:05+02:00 Supplementary material from "Network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song" Allen, Jenny A. Garland, Ellen C. Dunlop, Rebecca A. Noad, Michael J. 2019 https://dx.doi.org/10.6084/m9.figshare.c.4765586.v1 https://rs.figshare.com/collections/Supplementary_material_from_Network_analysis_reveals_underlying_syntactic_features_in_a_vocally_learnt_mammalian_display_humpback_whale_song_/4765586/1 unknown The Royal Society https://dx.doi.org/10.1098/rspb.2019.2014 https://dx.doi.org/10.6084/m9.figshare.c.4765586 CC BY 4.0 https://creativecommons.org/licenses/by/4.0 CC-BY Ecology FOS Biological sciences 170299 Cognitive Science not elsewhere classified FOS Psychology 60801 Animal Behaviour Collection article 2019 ftdatacite https://doi.org/10.6084/m9.figshare.c.4765586.v1 https://doi.org/10.1098/rspb.2019.2014 https://doi.org/10.6084/m9.figshare.c.4765586 2021-11-05T12:55:41Z Vocal communication systems have a set of rules that govern the arrangement of acoustic signals, broadly defined as ‘syntax’. However, there is a limited understanding of potentially shared or analogous rules across vocal displays in different taxa. Recent work on songbirds has investigated syntax using network-based modelling. This technique quantifies features such as connectivity (adjacent signals in a sequence) and recurring patterns. Here, we apply network-based modelling to the complex, hierarchically structured songs of humpback whales ( Megaptera novaeangliae ) from east Australia. Given the song's annual evolving pattern and the cultural conformity of males within a population, network modelling captured the patterns of multiple song types over 13 consecutive years. Song arrangements in each year displayed clear ‘small-world’ network structure, characterized by clusters of highly connected sounds. Transitions between these connected sounds further suggested a combination of both structural stability and variability. Small-world network structure within humpback songs may facilitate the characteristic and persistent vocal learning observed. Similar small-world structures and transition patterns are found in several birdsong displays, indicating common syntactic patterns among vocal learning in multiple taxa. Understanding the syntactic rules governing vocal displays in multiple, independently evolving lineages may indicate what rules or structural features are important to the evolution of complex communication, including human language. Article in Journal/Newspaper Humpback Whale Megaptera novaeangliae DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Ecology
FOS Biological sciences
170299 Cognitive Science not elsewhere classified
FOS Psychology
60801 Animal Behaviour
spellingShingle Ecology
FOS Biological sciences
170299 Cognitive Science not elsewhere classified
FOS Psychology
60801 Animal Behaviour
Allen, Jenny A.
Garland, Ellen C.
Dunlop, Rebecca A.
Noad, Michael J.
Supplementary material from "Network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song"
topic_facet Ecology
FOS Biological sciences
170299 Cognitive Science not elsewhere classified
FOS Psychology
60801 Animal Behaviour
description Vocal communication systems have a set of rules that govern the arrangement of acoustic signals, broadly defined as ‘syntax’. However, there is a limited understanding of potentially shared or analogous rules across vocal displays in different taxa. Recent work on songbirds has investigated syntax using network-based modelling. This technique quantifies features such as connectivity (adjacent signals in a sequence) and recurring patterns. Here, we apply network-based modelling to the complex, hierarchically structured songs of humpback whales ( Megaptera novaeangliae ) from east Australia. Given the song's annual evolving pattern and the cultural conformity of males within a population, network modelling captured the patterns of multiple song types over 13 consecutive years. Song arrangements in each year displayed clear ‘small-world’ network structure, characterized by clusters of highly connected sounds. Transitions between these connected sounds further suggested a combination of both structural stability and variability. Small-world network structure within humpback songs may facilitate the characteristic and persistent vocal learning observed. Similar small-world structures and transition patterns are found in several birdsong displays, indicating common syntactic patterns among vocal learning in multiple taxa. Understanding the syntactic rules governing vocal displays in multiple, independently evolving lineages may indicate what rules or structural features are important to the evolution of complex communication, including human language.
format Article in Journal/Newspaper
author Allen, Jenny A.
Garland, Ellen C.
Dunlop, Rebecca A.
Noad, Michael J.
author_facet Allen, Jenny A.
Garland, Ellen C.
Dunlop, Rebecca A.
Noad, Michael J.
author_sort Allen, Jenny A.
title Supplementary material from "Network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song"
title_short Supplementary material from "Network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song"
title_full Supplementary material from "Network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song"
title_fullStr Supplementary material from "Network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song"
title_full_unstemmed Supplementary material from "Network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song"
title_sort supplementary material from "network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song"
publisher The Royal Society
publishDate 2019
url https://dx.doi.org/10.6084/m9.figshare.c.4765586.v1
https://rs.figshare.com/collections/Supplementary_material_from_Network_analysis_reveals_underlying_syntactic_features_in_a_vocally_learnt_mammalian_display_humpback_whale_song_/4765586/1
genre Humpback Whale
Megaptera novaeangliae
genre_facet Humpback Whale
Megaptera novaeangliae
op_relation https://dx.doi.org/10.1098/rspb.2019.2014
https://dx.doi.org/10.6084/m9.figshare.c.4765586
op_rights CC BY 4.0
https://creativecommons.org/licenses/by/4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.c.4765586.v1
https://doi.org/10.1098/rspb.2019.2014
https://doi.org/10.6084/m9.figshare.c.4765586
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