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Showing 1–2 of 2 results
Advanced filters: Author: Peter J. Ramadge Clear advanced filters
  • Aligning electrocorticography data into a shared space improves how large language models predict brain activity during language comprehension, enhancing encoding accuracy, cross-participant generalization and denoising—especially in language-selective regions.

    • Arnab Bhattacharjee
    • Zaid Zada
    • Samuel A. Nastase
    Research
    Nature Computational Science
    P: 1-10
  • A revolution is underway in cognitive neuroscience, where tools and techniques from computer science and the tech industry are helping to extract more meaningful cognitive signals from noisy and increasingly large fMRI datasets. In this paper, the authors review the cutting edge of such computational analyses and discuss future opportunities and challenges.

    • Jonathan D Cohen
    • Nathaniel Daw
    • Theodore L Willke
    Reviews
    Nature Neuroscience
    Volume: 20, P: 304-313