The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.
Bridging the gap between theories of sensory cue integration and the physiology of multisensory neurons
Open accessAbstract
The richness of perceptual experience, as well as its usefulness for guiding behaviour, depends on the synthesis of information across multiple senses. Recent decades have witnessed a surge in our understanding of how the brain combines sensory cues. Much of this research has been guided by one of two distinct approaches: one is driven primarily by neurophysiological observations, and the other is guided by principles of mathematical psychology and psychophysics. Conflicting results and interpretations have contributed to a conceptual gap between psychophysical and physiological accounts of cue integration, but recent studies of visual–vestibular cue integration have narrowed this gap considerably.
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Cites
(1966) · Medical Entomology and Zoology · Cited by 10,293
Signal detection theory and psychophysics
Ingleby, J. D. (1967) · Journal of Sound and Vibration · doi:10.1016/0022-460x(67)90197-6 · Cited by 8,509
(1992) · Applied Ergonomics · doi:10.1016/0003-6870(92)90338-v · Cited by 7,112
Humans integrate visual and haptic information in a statistically optimal fashion
Ernst, M. O., & Banks, M. S. (2002) · Nature · doi:10.1038/415429a · Cited by 4,844
Perception of the Visual World
(1952) · Archives of Ophthalmology · doi:10.1001/archopht.1952.01700030123016 · Cited by 3,732
Faisal, A. A., Selen, L. P. J., & Wolpert, D. M. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2258 · Cited by 2,883
The Bayesian brain: The role of uncertainty in neural coding and computation
Knill, D. C., & Pouget, A. (2004) · Trends in Neurosciences · doi:10.1016/j.tins.2004.10.007 · Cited by 2,588
The analysis of visual motion: a comparison of neuronal and psychophysical performance
Britten, K., Shadlen, M., Newsome, W., & Movshon, J. (1992) · The Journal of Neuroscience · doi:10.1523/jneurosci.12-12-04745.1992 · Cited by 1,958
The Ventriloquist Effect Results from Near-Optimal Bimodal Integration
Alais, D., & Burr, D. (2004) · Current Biology · doi:10.1016/j.cub.2004.01.029 · Cited by 1,936
Normalization as a canonical neural computation
Carandini, M., & Heeger, D. J. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3136 · Cited by 1,906
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A multilevel multimodal circuit enhances action selection in drosophila
Ohyama, T., Schneider-Mizell, C. M., Fetter, R. D., Aleman, J. V., Franconville, R., Rivera-Alba, M., Mensh, B. D., Branson, K. M., Simpson, J. H., Truman, J. W., et al. (2015) · Nature · doi:10.1038/nature14297 · Cited by 502
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Rohe, T., & Noppeney, U. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002073 · Cited by 344
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Cullen, K. E. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0153-1 · Cited by 322
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Metadata
- Authors
- Fetsch, C. R., DeAngelis, G. C., & Angelaki, D. E.
- Venue
- Nature Reviews Neuroscience
- Published
- 2013-05-20
- Volume
- 14
- Issue
- 6
- Pages
- 429-442
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2043299443
- Cited by
- 302
- References
- 122
- FWCI
- 5.18
- 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.