Doughnut or Mickey Mouse? Detecting Toroidal Structure in Data through Persistent Cup-Length
ArXiv preprint (2025).
This paper introduces the first practical implementation of persistent cup-length and applies it to detect toroidal structure in grid cell populations.
Presented at
- Computational Geometry Week, Japan (2026)
- Young Topologists Meeting, Stockholm (2026)
- LOGML — London Geometry and Machine Learning (2026)