publications

2026

  1. Bound by semanticity: universal laws governing the generalization-identification tradeoff
    Marco Nurisso, Jesseba Fernando, Raj Deshpande, Alan Perotti, Raja Marjieh, Steven M. Frankland, and 6 more authors
    International Conference on Learning Representations, 2026
    URL arXiv
  2. Dynamics of the Transformer Residual Stream: Coupling Spectral Geometry to Network Topology
    Jesseba Fernando, and Grigori Guitchounts
    arXiv preprint, 2026
    URL arXiv

2025

  1. Transformer Dynamics: A neuroscientific approach to interpretability of large language models
    Jesseba Fernando, and Grigori Guitchounts
    arXiv preprint, 2025
    URL arXiv

2024

  1. Cortical reactivations predict future sensory responses
    Nghia D Nguyen, Andrew Lutas, Oren Amsalem, Jesseba Fernando, Andy Young-Eon Ahn, Richard Hakim, and 5 more authors
    Nature, 2024
    URL
  2. Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification
    Jesseba Fernando, Katharina V Hoebel, and William Lotter
    Proceedings of Machine Learning Research, 250:610–640 , 2024
    URL

2023

  1. Brainstem serotonin neurons selectively gate retinal information flow to thalamus
    Jasmine DS Reggiani, Qiufen Jiang, Melanie Barbini, Andrew Lutas, Liang Liang, Jesseba Fernando, and 5 more authors
    Neuron, 2023
    URL

2022

  1. Visual association cortex links cues with conjunctions of reward and locomotor contexts
    Kelly L McGuire, Oren Amsalem, Arthur U Sugden, Rohan N Ramesh, Jesseba Fernando, Christian R Burgess, and 1 more author
    Current Biology, 2022
    URL