eLife reviews preprints in the life sciences and medicine.

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  1. Evidence for flexible regulation of movement and decision vigor in a reward-oriented task

    1. Adrien Conessa
    2. Arnaud Boutin
    3. Bastien Berret

    • Curated by eLife

      eLife Assessment

      This valuable study introduces an innovative task and framework for examining whether movement vigor and reward-seeking behavior are governed by common or separate processes. The behavioral findings provide solid evidence that these behaviors can be differentially influenced by effort and delay, but support for the proposed model and its mechanistic claims remains incomplete, requiring more rigorous validation and analyses to address potential confounds. The work will be of interest to researchers studying motor control, decision-making, and effort-based behavior.

    Reviewed by eLife

    3 evaluationsAppears in 1 listLatest version Latest activity

  2. Two Interacting Neural Processes Support Speech Planning during Naturalistic Conversation

    1. Hiroyoshi Yamasaki
    2. Philippe Blache
    3. Daniele Schön

    • Curated by eLife

      eLife Assessment

      This useful study shows that neural activity before a conversational response contains information about the duration and timing of the subsequent turn. The evidence that this information originates from speech-production planning is incomplete. Because the analyzed EEG is recorded during processing of the partner's speech, and because that speech causally determines the subsequent response, production planning and comprehension/context are confounded in the current analyses. It would strengthen the production interpretation considerably if the authors could show that the relationship with forthcoming duration survives richer controls for the preceding turn, or ideally after accounting for EEG variance driven by the incoming speech.

    Reviewed by eLife

    3 evaluationsAppears in 1 listLatest version Latest activity

  3. Small circuit principles for learning in large worlds

    1. Dhruva V. Raman
    2. Christopher R. Dunne
    3. Katie Davyson
    4. Timothy O’Leary

    • Curated by eLife

      eLife Assessment

      This important study introduces Hetlearn, a novel learning algorithm that demonstrates that an ensemble of simple sub-learners with varying learning rates can effectively manage inference in complex, unstable environments. While the theoretical framework and its proposed application to parallel memory traces in the insect mushroom body are intriguing, the evidence supporting the core claims is currently incomplete. To fully validate the authors' conclusions, further exploration is needed to rigorously define the boundaries of the model's hyperparameter space, along with a deeper justification and clarification of its biological plausibility.

    Reviewed by eLife

    3 evaluationsAppears in 1 listLatest version Latest activity

  6. A pleiotropic EPAS1 enhancer mediating Tibetan adaptation to hypoxia is active in adipocytes

    1. Alexis G. Thornburg
    2. Soo-Young Park
    3. Li Zhang
    4. Ivy Aneas
    5. Débora R. Sobreira
    6. Isabella M. Salamone
    7. Noboru J. Sakabe
    8. Kathryn M. Farris
    9. Zachary T. Weber
    10. Olivia A. Gray
    11. Jennifer Yoo
    12. Hae Kyung Im
    13. Anna Di Rienzo
    14. Marcelo A. Nóbrega

    • Curated by eLife

      eLife Assessment

      The identification of a pleiotropic EPAS1 enhancer that influences adipocyte responses to hypoxia and thermogenic stimulation provides a valuable contribution to our understanding of high-altitude adaptation in Tibetans. The data are solid, although additional experiments would strengthen the link between ENH5 activity and the mechanisms underlying high-altitude adaptation.

    Reviewed by eLife

    3 evaluationsAppears in 1 listLatest version Latest activity
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