The DOI matches its Crossref record; 185 of the 185 references it cites were found in a registry or an index.
Vestibular processing during natural self-motion: implications for perception and action
Open accessAbstract
How the brain computes accurate estimates of our self-motion relative to the world and our orientation relative to gravity in order to ensure accurate perception and motor control is a fundamental neuroscientific question. Recent experiments have revealed that the vestibular system encodes this information during everyday activities using pathway-specific neural representations. Furthermore, new findings have established that vestibular signals are selectively combined with extravestibular information at the earliest stages of central vestibular processing in a manner that depends on the current behavioural goal. These findings have important implications for our understanding of the brain mechanisms that ensure accurate perception and behaviour during everyday activities and for our understanding of disorders of vestibular processing. In addition to ensuring stable gaze and posture, the vestibular system contributes to the perception of self-motion and orientation. In this Review, Cullen provides a comprehensive overview of recent advances in our understanding of sensory encoding and integration in the vestibular pathways.
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Self-citationThe Head Direction Signal: Origins and Sensory-Motor Integration
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Cited by
Central Vestibular Tuning Arises from Patterned Convergence of Otolith Afferents
Liu, Z., Kimura, Y., Higashijima, S.-I., Hildebrand, D. G. C., Morgan, J. L., & Bagnall, M. W. (2020) · Neuron · doi:10.1016/j.neuron.2020.08.019 · Cited by 50
Giese, A. P. J., Weng, W.-H., Kindt, K. S., Chang, H. H. V., Montgomery, J. S., Ratzan, E. M., Beirl, A. J., Rivera, R. A., Lotthammer, J. M., Walujkar, S., et al. (2023) · doi:10.1101/2023.05.26.542533 · Cited by 8
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Metadata
- Authors
- Cullen, K. E.
- Venue
- Nature Reviews Neuroscience
- Published
- 2019-03-27
- Volume
- 20
- Issue
- 6
- Pages
- 346-363
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2924782313
- Cited by
- 322
- References
- 185
- FWCI
- 4.60
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.