Reading the mind of the worm: Brain-wide neural dynamics predict behavior in C. elegans
Invited
Abstract
We record calcium activity from the majority of head neurons in freely moving C. elegans to reveal where and how natural behavior is encoded in a compact brain. We find that a sparse subset of neurons distributed throughout the head encode locomotion. A linear combination of these neurons’ activity predicts the animal's velocity and body curvature and is sufficient to infer its posture. This sparse linear model outperforms single neuron or PCA models at predicting behavior. Among neurons important for the prediction are well-known locomotory neurons, such as AVA, as well as neurons not traditionally associated with locomotion. We compare neural activity of the same animal during unrestrained movement and during immobilization and find large differences between brain-wide neural dynamics during real and fictive locomotion.
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Presenters
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Monika Scholz
Princeton University
Authors
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Monika Scholz
Princeton University
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Ashley N Linder
Princeton University
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Francesco Randi
Princeton University, Department of Physics, Princeton University
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Anuj K Sharma
Department of Physics, Princeton University, Princeton University
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Xinwei Yu
Princeton University
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Joshua Shaevitz
Princeton University, Physics, Princeton University
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Andrew M Leifer
Princeton University, Department of Physics, Princeton University