Arielle Rosinski

Arielle Rosinski

Computational Neuroscience
and Machine LearningGatsby Unit · UCL

I’m a PhD student in computational neuroscience and machine learning at the Gatsby Computational Neuroscience Unit, University College London (UCL), supervised by Maneesh Sahani. I am currently visiting Benjamin Eysenbach’s lab at Princeton University.

I’m generally interested in dynamic neural representations and computations. Currently, I’m working on identifying latent nonlinear dynamical systems from neural population data using approximate inference-based approaches.

Previously, I did the MPhil in Machine Learning and Machine Intelligence at the University of Cambridge, where I was advised by Guillaume Hennequin and worked on uncovering temporally irreversible neural manifolds from population responses.

Papers & preprints

Conference posters

  1. Identifying Neural Activity Manifolds through Non-reversibility Analysis

    A. Rosinski, V. Ruetten, G. Hennequin

    Computational and Systems Neuroscience (Cosyne), 2026

  2. Investigating the computational principles underlying dynamical auditory cortical representations

    L. Fox*, A. Rosinski*, J. Linden, M. Sahani

    Computational and Systems Neuroscience (Cosyne), 2026

  3. Investigating the computational principles underlying auditory cortical representations using recurrent networks

    L. Fox*, A. Rosinski*, J. Linden, M. Sahani

    International Conference on Auditory Cortex (ICAC), 2025

* denotes equal contribution