Neuroscience

  1. Feedback control of recurrent circuits imposes dynamical constraints on learning

    1. Harsha Gurnani
    2. Weixuan Liu
    3. Bingni W Brunton

    • Curated by eLife

      eLife Assessment

      This important study uses a feedback-driven recurrent neural network framework to explore the dynamics underlying learning of BCI decoder perturbations. With convincing evidence, the authors demonstrate that behavioral learning trajectories that match those of primates learning within-manifold and outside-manifold perturbations are likely tied to the dynamical controllability of the network and input-driven learning. This work is likely to motivate a new generation of BCI and learning experiments combining large-scale neural recordings with latent dynamical systems analyses.

    Reviewed by eLife

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