5 citations · 10 across the 5 of their papers we have counts for
5 papers
Topological decoding of grid cell activity via path lifting to covering spaces
Yuxing Jared Yao, Iris H. R. Yoon
High-dimensional neural activity often reside in a low-dimensional subspace, referred to as neural manifolds. Grid cells in the medial entorhinal cortex provide a periodic spatial…
Topology across Scales on Heterogeneous Cell Data
Maria Torras-Pérez, Iris H. R. Yoon, Praveen Weeratunga +4
Multiplexed imaging allows multiple cell types to be simultaneously visualised in a single tissue sample, generating unprecedented amounts of spatially-resolved, biological data. I…
Tracking the topology of neural manifolds across populations
Iris H. R. Yoon, Gregory Henselman-Petrusek, Yiyi Yu +3
Neural manifolds summarize the intrinsic structure of the information encoded by a population of neurons. Advances in experimental techniques have made simultaneous recordings from…
Relational persistent homology for multispecies data with application to the tumor microenvironment
Bernadette J. Stolz, Jagdeep Dhesi, Joshua A. Bull +3
Topological data analysis (TDA) is an active field of mathematics for quantifying shape in complex data. Standard methods in TDA such as persistent homology (PH) are typically focu…
Topological classification of tumour-immune interactions and dynamics
Jingjie Yang, Heidi Fang, Jagdeep Dhesi +5
The complex and dynamic crosstalk between tumour and immune cells results in tumours that can exhibit distinct qualitative behaviours - elimination, equilibrium, and escape - and i…