MARBLE: Interpretable representations of neural dynamics using geometric deep learning

Gosztolai, A., Peach, R. L., Arnaudon, A., Barahona, M., Vandergheynst, P.

Nature Methods (2025)

[code] [blog post]

Implicit Gaussian process representation of vector fields over arbitrary latent manifolds

Peach, R. L., Vinao-Varl, M., Grossman, N., David, M., Mallas, E., Sharp, D., Malhotra, P. A., Vandergheynst, P., Gosztolai, A.

ICLR (2024)

[code]

Connecting the dots in ethology: applying network theory to understand neural and animal collectives

Gosztolai, A., Ramdya, P.

Current Opinion in Neurobiology (2022)

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

Gosztolai, A., Günel, S., Lobato-Ríos, V., Abrate, M. P., Morales, D., Rhodin, H., Fua, P., Ramdya, P.

Nature Methods (2021)

[code] [video summary] [blog post]

Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature

Gosztolai, A., Arnaudon, A.

Nature Communications (2021)

[code] [blog post]

Cellular memory enhances bacterial chemotactic navigation in rugged environments

Gosztolai, A., Barahona, M.

Communications Physics (2020)

[code] [blog post]

Collective search with finite perception: transient dynamics and search efficiency

Gosztolai, A., Carrillo, J. A., Barahona, M.

Frontiers in Physics (2019)

[code] [blog post]

GlnK facilitates the dynamic regulation of bacterial nitrogen assimilation

Gosztolai, A., Schumacher, J., Behrends, V., Bundy, J. G., Heydenreich, F., Bennett, M. H., Buck, M., Barahona, M.

Biophysical Journal (2017)

[code]