This is a personal, curiosity-driven exploration into the hidden structure of birdsong.
Birds use complex vocalizations to communicate β but what do those sounds look like when seen through the lens of mathematics and nonlinear dynamics?
Using techniques like Takens' time-delay embedding, I analyze real birdsong recordings and reconstruct their trajectories in phase space. The resulting shapes β called attractors β reveal patterns in how the song evolves, how it's controlled, and possibly how it's understood by other birds.
This project blends biology, mathematics, data visualization, and even physical modeling through 3D printing and holography. Along the way, Iβve created interactive tools that let anyone experiment with sound and structure β and maybe see birdsong in a whole new way.
Visualize birdsong using nonlinear time-series tools
Make abstract concepts like attractors and phase space more intuitive
Explore the intersection of sound, science, and art
Share what Iβm learning and open it to feedback
Freedom. Curiosity. Fun.
This project started with a moment of stillness in nature β and became an open-ended journey into science, sound, and creativity.
π Try the interactive demos
π΅ Learn how bird songs are produced
π¨οΈ See how I turned attractors into physical 3D prints
π‘ Dive into the math behind time-delay embeddings
Navyanth Kusampudi
PostDoctoral researcher at Max-Planck-Institut fΓΌr Eisenforschung GmbHΒ
π GitHub: https://github.com/navyanthkusampudi
βοΈ Email: n.kusampudi@mpie.de, navyanthkusam@gmail.com
πΌ LinkedIn: https://www.linkedin.com/in/navyanth-kusampudi-4966112a/