A quantitative method for analyzing species-specific vocal sequence pattern and its developmental dynamics
| Autor: | Raimu Imai, Hiroyuki Furukawa, Chihiro Mori, Kazuhiro Wada, Shin Hayase, Hongdi Wang, Chinweike Norman Asogwa, Miguel Sanchez, Azusa Sawai |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Individual variation Sound Spectrography Speech recognition Biology Vocal learning 03 medical and health sciences 0302 clinical medicine Species Specificity Similarity (network science) Animals Syntax Zebra finch Sequence Basis (linear algebra) General Neuroscience Vocal development 030104 developmental biology Song learning Identification (biology) Finches Vocalization Animal Syllable Sparrows 030217 neurology & neurosurgery |
| Zdroj: | Journal of Neuroscience Methods. 271:25-33 |
| ISSN: | 0165-0270 |
| DOI: | 10.1016/j.jneumeth.2016.06.023 |
| Popis: | Background: Songbirds are a preeminent animal model for understanding the neural basis underlying the development and evolution of a complex learned behavior, bird song. However, only a few quantitative methods exist to analyze these species-specific sequential behaviors in multiple species using the same calculation method. New method: We report a method of analysis that focuses on calculating the frequency of characteristic syllable transitions in songs. This method comprises two steps: The first step involves forming correlation matrices of syllable similarity scores, named syllable similarity matrices (SSMs); these are obtained by calculating the round-robin comparison of all the syllables in two songs, while maintaining the sequential order of syllables in the songs. In the second step, each occurrence rate of three patterns of binarized "2 rows x 2 columns" cells in the SSMs is calculated to extract information on the characteristic syllable transitions. Results: The SSM analysis method allowed obtaining species-specific features of song patterns and intraspecies individual variability simultaneously. Furthermore, it enabled quantitative tracking of the developmental trajectory of the syllable sequence patterns. Comparison with existing method: This method enables us to extract the species-specific song patterns and dissect the regulation of song syntax development without human-biased procedures for syllable identification. This method can be adapted to study the acoustic communication systems in several animal species, such as insects and mammals. Conclusions: This present method provides a comprehensive qualitative approach for understanding the regulation of species specificity and its development in vocal learning. (C) 2016 Elsevier B.V. All rights reserved. |
| Databáze: | OpenAIRE |
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