Publications

2026

  1. (Accepted) Guiding generative models for protein design: Prompting, steering and aligning
    Filippo Stocco, Michele Garibbo, and Noelia Ferruz
    Current Opinion in Structural Biology, 2026
    PDF
  2. (Accepted) Distinct roles of cortical layer 5 subtypes in associative learning
    Sara Moberg, Michele Garibbo, and  al.
    Nature Communications, 2026
    PDF
  3. (In-preparation) Integrating Reward- and Error- Based Learning via Action Gradients: A Systems Theory of Cerebellar and Basal Ganglia Interactions
    Michele Garibbo, Laurence Aitchison*, and Ponte Costa*
    In preparation, 2026
    PDF

2024

  1. Taylor TD-learning
    Michele Garibbo, Maxime Robeyns, and Laurence Aitchison
    Advances in Neural Information Processing Systems (NeurIPS), 2024
    PDF Code
  3. Relating Human Error–Based Learning to Modern Deep RL Algorithms
    Michele Garibbo, Casimir JH Ludwig, Nathan F Lepora, and 1 more author
    Neural Computation, 2024

2019

  1. The impact of threat of shock-induced anxiety on the neural substrates of memory encoding and retrieval
    Michele Garibbo, Jessica Aylward, and Oliver J Robinson
    Social Cognitive and Affective Neuroscience, 2019

Contributed Talks

2021

  1. What deep reinforcement learning tells us about human motor learning and vice-versa
    Michele Garibbo, Casimir Ludwig, Nathan Lepora, and 1 more author
    Neuromatch Conference, 2021

2016

  1. The effect of local environmental context changes on intentional and unintentional memory retrieval
    Michele Garibbo, and Ewelina Wierdak
    British Psychology Association South West Undergraduate Conference, 2016

Selected Posters

2023

  1. Taylor TD-learning
    Michele Garibbo, Maxime Robeyns, and Laurence Aitchison
    NeurIPS, 2023

2022

  1. RNN reconstruction of mouse latent neural dynamics
    Mattia Zanzi, Michele Garibbo, Alessandro Tavano, and 1 more author
    Neuromatch conference, 2022
  2. What deep reinforcement learning tells us about human motor learning and vice-versa
    Michele Garibbo, Casimir Ludwig, Nathan Lepora, and 1 more author
    CSHL From Neuroscience to Artificially Intelligent conference, 2022

2017

  1. The impact of threat of shock-induced anxiety on the neural substrates of memory encoding and retrieval
    Michele Garibbo, Jessica Aylward, and Oliver J Robinson
    UCL Neuroscience Symposium, 2017