Rhythmic phenomena, ubiquitous in biological systems, are often modeled as networks of coupled limit-cycle oscillators. This study introduces an adaptive LASSO based approach to infer the interaction type-"including pairwise and higher-order interactions-" from time-series data, demonstrating its effectiveness on synthetic datasets and human brain network data.
- Weiwei Su
- Shigefumi Hata
- Ryota Kobayashi
