ArticleProceedings of the National Academy of Sciences of the United States of America2022
Sensory error drives fine motor adjustment.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Neural identification of self-emitted vocalizations in the auditory midbrain of behaving bats.Science China. Life sciences · 2026Article
- Robust Doppler Shift Compensation in Freely Flying Bats Under Acoustic Interference.Integrative zoology · 2026Article
- Perceptual hearing sensitivity during vocal production.iScience · 2022Article
- Sensory error drives fine motor adjustment.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Doppler shift compensation performance inFrontiers in systems neuroscience · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fine audiovocal control is a hallmark of human speech production and depends on precisely coordinated muscle activity guided by sensory feedback. Little is known about shared audiovocal mechanisms between humans and other mammals. We hypothesized that real-time audiovocal control in bat echolocation uses the same computational principles as human speech. To test the prediction of this hypothesis, we applied state feedback control (SFC) theory to the analysis of call frequency adjustments in the echolocating bat,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.