eLife reviews preprints in the life sciences and medicine.

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  1. A theory of multi-task computation and task selection

    1. Owen Marschall
    2. David G. Clark
    3. Ashok Litwin-Kumar

    • Curated by eLife

      eLife Assessment

      This valuable study analyzes how recurrent neural network can flexibly switch between multiple tasks. The evidence is solid, but reviewers have raised questions about the impacts of transient dynamics, whether the activity is actually chaotic, can inputs be used to switch between tasks, what determines overlap between tasks and others. In addition, there were more minor questions pertaining to whether the analyses are actually analytic or primarily based on numerical simulations, as well as the relationship to prior studies where the same network was optimized to perform multiple tasks simultaneously with different readouts.

    Reviewed by eLife

    3 evaluationsAppears in 1 listLatest version Latest activity

  2. Correctness is its own reward: bootstrapping error signals in self-guided reinforcement learning

    1. Ziyi Gong
    2. Fabiola Duarte
    3. Richard Mooney
    4. John Pearson

    • Curated by eLife

      eLife Assessment

      This important study proposes a framework in which tutor-song memorization and performance-error computation arise from a shared predictive-cancellation circuit. The approach is solid, but the choice of learning rules, circuit architecture, and sparsity assumptions is not always sufficiently justified, and the model would benefit from a clearer mechanistic derivation and more concrete experimental predictions. This study would be relevant for researchers studying vocal learning and motor learning in general.

    Reviewed by eLife

    3 evaluationsAppears in 1 listLatest version Latest activity
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