ArticleeLife2022
Motor cortex activity across movement speeds is predicted by network-level strategies for generating muscle activity.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- Abstract Representation of Movement Parameters in Basal Ganglia Output.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Flexible reorientation of conserved neural dynamics underlies grasp control.bioRxiv : the preprint server for biology · 2026Article
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- Sparse component analysis: A method that uncovers separable computations within neural population activity.Neuron · 2026Article
- Duration-modulated neural population dynamics in humans during BMI controls.Communications biology · 2026Article
- A scalable hippocampal code for flexible interval timing through persistent activity.bioRxiv : the preprint server for biology · 2026Article
- Granule cells reorient cortical manifolds to separate contexts but preserve their geometry.bioRxiv : the preprint server for biology · 2026Article
- Finding the groove in neural space.medRxiv : the preprint server for health sciences · 2026Article
- Shared somatosensory-motor neural population dynamics track motor recovery after stroke.bioRxiv : the preprint server for biology · 2026Article
- Locomotion engages context-dependent motor strategies for head stabilization in primates.Communications biology · 2026Article
- A posture subspace in the primary motor cortex.Neuron · 2025Article
- Review
- Spinal interneuron population dynamics underlying flexible pattern generation.Nature communications · 2025Article
- Embodied sensorimotor control: computational modeling of the neural control of movement.ArXiv · 2025Article
- Motor cortex flexibly deploys a high-dimensional repertoire of subskills.bioRxiv : the preprint server for biology · 2025Article
- State-dependent neural representations of muscle synergies in the spinal cord revealed by optogenetic stimulation.The Journal of physiology · 2025Article
- Investigating the benefits of artificial neural networks over linear approaches to BMI decoding.Journal of neural engineering · 2025Article
- Cortical sculpting of a rhythmic motor program.bioRxiv : the preprint server for biology · 2025Article
- Article
- Neural geometry from mixed sensorimotor selectivity for predictive sensorimotor control.eLife · 2025Article
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Authors and funding
4 authors.
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Abstract
Learned movements can be skillfully performed at different paces. What neural strategies produce this flexibility? Can they be predicted and understood by network modeling? We trained monkeys to perform a cycling task at different speeds, and trained artificial recurrent networks to generate the empirical muscle-activity patterns. Network solutions reflected the principle that smooth well-behaved dynamics require low trajectory tangling. Network solutions had a consistent form, which yielded quantitative and qualitative predictions. To evaluate predictions, we analyzed motor cortex activity recorded during the same task. Responses supported the hypothesis that the dominant neural signals reflect not muscle activity, but network-level strategies for generating muscle activity. Single-neuron responses were better accounted for by network activity than by muscle activity. Similarly, neural population trajectories shared their organization not with muscle trajectories, but with network solutions. Thus, cortical activity could be understood based on the need to generate muscle activity via dynamics that allow smooth, robust control over movement speed.
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