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  1. Decoding locomotion from population neural activity in moving C. elegans

    This article has 9 authors:
    1. Kelsey M Hallinen
    2. Ross Dempsey
    3. Monika Scholz
    4. Xinwei Yu
    5. Ashley Linder
    6. Francesco Randi
    7. Anuj K Sharma
    8. Joshua W Shaevitz
    9. Andrew M Leifer
    This article has been curated by 1 group:
    • Curated by eLife

      Evaluation Summary:

      This paper will be of interest to a wide range of systems neuroscientists seeking to understanding the relationship between neuronal activity and behavior. Building on previous technical advances in brain-wide imaging of neuronal activity (Ca signals) in freely moving animals (Caenorhabditis elegans), it demonstrates that a linear regression model is sufficient reconstruct key parameters of locomotion - velocity and body curvature - from the imaging data and documents differences in activity between freely moving and immobilized worms.

      (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. The reviewers remained anonymous to the authors.)

    Reviewed by eLife

    This article has 5 evaluationsAppears in 3 listsLatest version Latest activity