Simple neural substrate predicts complex rhythmic structure in duetting birds
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 2005•APS
Horneros (Furnarius Rufus) are South American birds well known for their oven-looking
nests and their ability to sing in couples. Previous work has analyzed the rhythmic
organization of the duets, unveiling a mathematical structure behind the songs. In this work
we analyze in detail an extended database of duets. The rhythms of the songs are
compatible with the dynamics presented by a wide class of dynamical systems: forced
excitable systems. Compatible with this nonlinear rule, we build a biologically inspired …
nests and their ability to sing in couples. Previous work has analyzed the rhythmic
organization of the duets, unveiling a mathematical structure behind the songs. In this work
we analyze in detail an extended database of duets. The rhythms of the songs are
compatible with the dynamics presented by a wide class of dynamical systems: forced
excitable systems. Compatible with this nonlinear rule, we build a biologically inspired …
Horneros (Furnarius Rufus) are South American birds well known for their oven-looking nests and their ability to sing in couples. Previous work has analyzed the rhythmic organization of the duets, unveiling a mathematical structure behind the songs. In this work we analyze in detail an extended database of duets. The rhythms of the songs are compatible with the dynamics presented by a wide class of dynamical systems: forced excitable systems. Compatible with this nonlinear rule, we build a biologically inspired model for how the neural and the anatomical elements may interact to produce the observed rhythmic patterns. This model allows us to synthesize songs presenting the acoustic and rhythmic features observed in real songs. We also make testable predictions in order to support our hypothesis.
American Physical Society
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