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Showing 1–3 of 3 results
Advanced filters: Author: Evan M. Russek Clear advanced filters

  • A computational model called Centaur, developed by fine-tuning a language model on a huge dataset called Psych-101, can predict and simulate human nature in experiments expressible in natural language, even in previously unseen situations.

    • Marcel Binz
    • Elif Akata
    • Eric Schulz
    ResearchOpen Access
    Nature
    Volume: 644, P: 1002-1009

  • Individuals differ in how they weight probability and reward information when making risky choices. Here, the authors use magnetoencephalography to test whether such variation is related to how information is neurally represented during choice evaluation.

    • Evan M. Russek
    • Rani Moran
    • Quentin J. M. Huys
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-16

  • Trajectory-coding neurons in the hippocampus convey important information for performing memory tasks. Here, Kinsky et al. track long-term neural activity in the hippocampus to find that trajectory-coding emerges rapidly and remains stable across long time-scales.

    • Nathaniel R. Kinsky
    • William Mau
    • Michael E. Hasselmo
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-14