2018
DOI: 10.3389/fnins.2018.00640
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Commentary: The Evolution of Musicality: What Can Be Learned from Language Evolution Research?

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Cited by 2 publications
(2 citation statements)
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“…This modeling strategy in combination with the evolutionary simulation of recursive combination as suggested by Toya and Hashimoto ( 2018 ) could provide us with a possibility to investigate why hierarchical structure building capacity has evolved in its full range of complexity in the hominin line. This allows language and music evolution research to move toward an integrated approach discussed elsewhere (Asano and Seifert 2018 ). Altogether, I hope the current paper made the evolution of hierarchical structure building capacity for language and music more tractable for comparative evolutionary research and offered possible future directions for interdisciplinary research.…”
Section: Discussionmentioning
confidence: 99%
“…This modeling strategy in combination with the evolutionary simulation of recursive combination as suggested by Toya and Hashimoto ( 2018 ) could provide us with a possibility to investigate why hierarchical structure building capacity has evolved in its full range of complexity in the hominin line. This allows language and music evolution research to move toward an integrated approach discussed elsewhere (Asano and Seifert 2018 ). Altogether, I hope the current paper made the evolution of hierarchical structure building capacity for language and music more tractable for comparative evolutionary research and offered possible future directions for interdisciplinary research.…”
Section: Discussionmentioning
confidence: 99%
“…As represented in the spring school, a mechanistic approach opens up many new avenues to relate the different fields of research presented here. Computational neurocognitive modeling and computational neuroethology or biology are possibilities to yield such a unified approach (e.g., Arbib, 2016; Asano & Seifert, 2018; Fitch, 2014).…”
Section: Conclusion and Future Perspectivesmentioning
confidence: 99%