Stanford’s Laboratory for Computation & Language in Minds & Brains (CLiMB Lab)

Welcome to the home page for the CLiMB Lab at Stanford! We are a community of scientists trying to figure out how our brains let us go so efficiently from sensation (e.g., speech, reading) to meaning, and we do this using a combination of neuroimaging, computer modeling, and behavioral experiments. We are a brand-new lab and our website is currently under construction, so please be patient as we build the site’s content, and don’t hesitate to reach out with questions (contact info below).


Contact us at [email protected]


selected publications

  1. JoCN
    Graded sensitivity to structure and meaning throughout the human language network
    Shain, Cory, Kean, Hope, Casto, Colton, Lipkin, Benjamin, Affourtit, Josef, Siegelman, Matthew, Mollica, Francis, and Fedorenko, Evelina
    Journal of Cognitive Neuroscience, 2024
  2. PNAS
    Large-scale evidence for logarithmic effects of word predictability on reading time
    Shain, Cory, Meister, Clara, Pimentel, Tiago, Cotterell, Ryan, and Levy, Roger
    Proceedings of the National Academy of Sciences, 2024
  3. Open Mind
    Word Frequency and Predictability Dissociate in Naturalistic Reading
    Shain, Cory
    Open Mind: Discoveries in Cognitive Science, 2024
  4. Open Mind
    A deep learning approach to analyzing continuous-time cognitive processes
    Shain, Cory, and Schuler, William
    Open Mind: Discoveries in Cognitive Science, 2024
  5. Cer Cort
    No evidence of theory of mind reasoning in the human language network
    Shain, Cory, Paunov, Alexander, Chen, Xuanyi, Lipkin, Benjamin, and Fedorenko, Evelina
    Cerebral Cortex, 2023
  6. J Neuro
    Robust effects of working memory demand during naturalistic language comprehension in language-selective cortex
    Shain, Cory, Blank, Idan A., Fedorenko, Evelina, Gibson, Edward, and Schuler, William
    Journal of Neuroscience, 2022
  7. CoNLL
    Acquiring language from speech by learning to remember and predict
    Shain, Cory, and Elsner, Micha
    In Proceedings of the 24th Conference on Computational Natural Language Learning, 2020
  8. Npsy
    fMRI reveals language-specific predictive coding during naturalistic sentence comprehension
    Shain, Cory, Blank, Idan, van Schijndel, Marten, Schuler, William, and Fedorenko, Evelina
    Neuropsychologia, 2020