Detection of Individual Differences Encoded in Sequential Variations of Elements in Zebra Finch Songs

Zebra finches sing individually unique songs and recognize conspecific songs and individual identities in songs. Their songs comprise several syllables/elements that share acoustic features within the species, with unique sequential arrangements. However, the neuronal mechanisms underlying the detection of individual differences and species specificity have yet to be elucidated. Herein, we examined the neuronal auditory responsiveness of neurons in the higher auditory area, the caudal nidopallium (NCM), to songs and their elements in male zebra finches to understand the mechanism for detecting species and individual identities in zebra finch songs. We found that various adult male zebra finch songs share acoustically similar song elements but differ in their sequential arrangement between individuals. The broader spiking (BS) neurons in the NCM detected only a small subset of zebra finch songs, whereas NCM BS neurons, as a neuronal ensemble, responded to all zebra finch songs. Notably, distinct combinations of BS neurons responded to each of the 18 presented songs in one bird. Subsets of NCM BS neurons were sensitive to sequential arrangements of species-specific elements, which dramatically increasing the capacity for song variation with a limited number of species-specific elements. The naive Bayes decoder analysis further showed that the response of sequence-sensitive BS neurons increased the accuracy of song stimulus predictions based on the response strength of neuronal ensembles. Our results suggest the neuronal mechanisms that NCM neurons as an ensemble decode the individual identities of songs, while each neuron detects a small subset of song elements and their sequential arrangement.

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Publication Details

Journal
Journal of Neuroscience
Published
2025-02-21
DOI
https://doi.org/10.1523/jneurosci.1071-24.2025
Citations
2
Primary Topic
Animal Vocal Communication and Behavior
Type
article
Field-Weighted Citation Impact
3.28

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article

Detection of Individual Differences Encoded in Sequential Variations of Elements in Zebra Finch Songs

Yoko Yazaki-Sugiyama 杉山 矢崎 陽子, Zhehao Cheng 程柘皓
2 citations
Journal of Neuroscience
Animal Vocal Communication and Behavior
3.28
article

Detection of Individual Differences Encoded in Sequential Variations of Elements in Zebra Finch Songs

Yoko Yazaki-Sugiyama 杉山 矢崎 陽子, Zhehao Cheng 程柘皓
article en
2 citations

Abstract

Zebra finches sing individually unique songs and recognize conspecific songs and individual identities in songs. Their songs comprise several syllables/elements that share acoustic features within the species, with unique sequential arrangements. However, the neuronal mechanisms underlying the detection of individual differences and species specificity have yet to be elucidated. Herein, we examined the neuronal auditory responsiveness of neurons in the higher auditory area, the caudal nidopallium (NCM), to songs and their elements in male zebra finches to understand the mechanism for detecting species and individual identities in zebra finch songs. We found that various adult male zebra finch songs share acoustically similar song elements but differ in their sequential arrangement between individuals. The broader spiking (BS) neurons in the NCM detected only a small subset of zebra finch songs, whereas NCM BS neurons, as a neuronal ensemble, responded to all zebra finch songs. Notably, distinct combinations of BS neurons responded to each of the 18 presented songs in one bird. Subsets of NCM BS neurons were sensitive to sequential arrangements of species-specific elements, which dramatically increasing the capacity for song variation with a limited number of species-specific elements. The naive Bayes decoder analysis further showed that the response of sequence-sensitive BS neurons increased the accuracy of song stimulus predictions based on the response strength of neuronal ensembles. Our results suggest the neuronal mechanisms that NCM neurons as an ensemble decode the individual identities of songs, while each neuron detects a small subset of song elements and their sequential arrangement.

Journal of NeuroscienceVol. 45(14)
Okinawa Institute of Science and Technology Graduate University (JP)
Japan Society for the Promotion of Science
Life in Land
Openalex Percentile: Top 10%
Animal Vocal Communication and Behavior
3.28
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Detection of Individual Differences Encoded in Sequential Variations of Elements in Zebra Finch Songs — Yoko Yazaki-Sugiyama 杉山 矢崎 陽子, Zhehao Cheng 程柘皓 · Journal of Neuroscience (2025) | TGRS Research Map | TGRS