Publications

In Prep

Mechanistic Interpretability of a Navigational Task in RNNs through Neural Population Geometry

Acosta, F., ...,  Miolane, N. (2024). 


Under Review

Identifying Interpretable Visual Features in Artificial and Biological Neural Systems.

Klindt, D., Sanborn, S., Acosta, F., Poitevin, F., Miolane, N. (2023). Under Review. [paper]


Conference Publications

Quantifying Extrinsic Curvature in Neural Manifolds. 

Acosta, F., Sanborn, S., Dao Duc, K., Madhav M., Miolane, N. (2023). Quantifying Extrinsic Curvature in Neural Manifolds. IEEE CVPR Workshop Proceedings.  [paper] [code]



Relating Representational Geometry to Cortical Geometry in Visual Cortex. 

Acosta, F., Conwell, C., Sanborn, S., Klindt, D., Miolane, N. (2023). NeurIPS Workshop on Unifying Representations in Neural Models. [paper]

Conference Abstracts

 The emergence of discrete grid cell modules from smooth gradients in the brain. 

Khona, M., Chandra, S., Acosta, F., Fiete, I. (2021) Computational and Systems Neuroscience Conference (COSYNE).  [paper]


Software Contributions

 Geomstats

Miolane et al. (2023) Geomstats: A Python Package for Riemannian Geometry in Machine Learning. Geomstats release (v2.6.0+). [https://geomstats.github.io]