Correlations and Functional Connections in a Population of Grid Cells. - Benjamin A. Dunn; Maria Mørreaunet; Yasser Roudi (PLoS Comput. Biol., 2015)

Decoding of Neural Data Using Cohomological Feature Extraction. - Erik Rybakken; Nils A. Baas; Benjamin A. Dunn (Neural Comput., 2019)

Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience. - Dominic Gonschorek; Larissa Höfling; Klaudia P. Szatko; Katrin Franke; Timm Schubert; Benjamin A. Dunn; Philipp Berens; David A. Klindt; Thomas Euler (NeurIPS, 2021)

Score-Based Generative Classifiers. - Roland S. Zimmermann; Lukas Schott; Yang Song; Benjamin A. Dunn; David A. Klindt (CoRR, 2021)

Topological ensemble detection with differentiable yoking. - David A. Klindt; Sigurd Gaukstad; Melvin Vaupel; Erik Hermansen; Benjamin A. Dunn (NeurReps, 2022)

ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results. - Adele Myers; Saiteja Utpala; Shubham Talbar; Sophia Sanborn; Christian Shewmake; Claire Donnat; Johan Mathe; Rishi Sonthalia; Xinyue Cui; Tom Szwagier; Arthur Pignet; Andri Bergsson; et al. (TAG-ML, 2022)

ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results. - Adele Myers; Saiteja Utpala; Shubham Talbar; Sophia Sanborn; Christian Shewmake; Claire Donnat; Johan Mathe; Umberto Lupo; Rishi Sonthalia; Xinyue Cui; Tom Szwagier; Arthur Pignet; et al. (CoRR, 2022)

Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles. - Martin Bjerke; Lukas Schott; Kristopher T. Jensen; Claudia Battistin; David A. Klindt; Benjamin Adric Dunn (ICLR, 2023)