Samuel Liebana

Gatsby Computational Neuroscience Unit, University College London

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Gatsby Computational Neuroscience Unit

25 Howland Street

W1T 4JG

London, UK

I am a Research Fellow in Theoretical Neuroscience working with Andrew Saxe at UCL. My work lies at the intersection of theoretical and experimental neuroscience, aiming to uncover the computational and biological principles of individual/collective learning in the brain.

I completed my PhD in Neuroscience at DPAG, University of Oxford supervised by Armin Lak, Andrew Saxe, and Rafal Bogacz. During my PhD, I studied the computational role of dopamine in long-term learning.

I am funded by the Human Frontier Science Program (HFSP) and Gatsby Charitable Foundation.

Education:

MSc + PhD in Neuroscience, University of Oxford
BA + MEng in Electrical Engineering (First Class), University of Cambridge

selected publications

  1. long_term_learning.jpg
    Dopamine encodes deep network teaching signals for individual learning trajectories
    Samuel Liebana, Aeron Laffere , Chiara Toschi , Louisa Schilling , Jessica Moretti , and 7 more authors
    Cell, 2025
    N/A Google Scholar citations
  2. cobs_perceptual_decisions.jpg
    Dopaminergic computations for perceptual decisions
    Samuel Liebana, Matthias Fritsche , and Armin Lak
    Current Opinion in Behavioral Sciences, 2024
    N/A Google Scholar citations
  3. lifelong_rl.png
    Lifelong Reinforcement Learning via Neuromodulation
    Sebastian Lee , Samuel Liebana, Claudia Clopath , and Will Dabney
    arXiv preprint arXiv:2408.08446, 2024
    N/A Google Scholar citations
  4. temporal_regularities.png
    Temporal regularities shape perceptual decisions and striatal dopamine signals
    Matthias Fritsche , Antara Majumdar , Lauren Strickland , Samuel Liebana, Rafal Bogacz , and 1 more author
    Nature Communications, 2024
    N/A Google Scholar citations