23 citations · 24 across the 15 of their papers we have counts for
4 papers · 1 filter
Quantifying Extrinsic Curvature in Neural Manifolds
Francisco Acosta, Sophia Sanborn, Khanh Dao Duc +2
The neural manifold hypothesis postulates that the activity of a neural population forms a low-dimensional manifold whose structure reflects that of the encoded task variables. In…
Testing geometric representation hypotheses from simulated place cell recordings
Thibault Niederhauser, Adam Lester, Nina Miolane +2
Hippocampal place cells can encode spatial locations of an animal in physical or task-relevant spaces. We simulated place cell populations that encoded either Euclidean- or graph-b…
AlignOT: An optimal transport based algorithm for fast 3D alignment with applications to cryogenic electron microscopy density maps
A. Tajmir Riahi, G. Woollard, F. Poitevin +2
Aligning electron density maps from Cryogenic electron microscopy (cryo-EM) is a first key step for studying multiple conformations of a biomolecule. As this step remains costly an…
Defining an action of SO(d)-rotations on images generated by projections of d-dimensional objects: Applications to pose inference with Geometric VAEs
Nicolas Legendre, Khanh Dao Duc, Nina Miolane
Recent advances in variational autoencoders (VAEs) have enabled learning latent manifolds as compact Lie groups, such as . Since this approach assumes that data lies on a su…