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Neural correlates of multisensory cue integration in macaque MSTd
Open accessAbstract
Human observers combine multiple sensory cues synergistically to achieve greater perceptual sensitivity, but little is known about the underlying neuronal mechanisms. We recorded the activity of neurons in the dorsal medial superior temporal (MSTd) area during a task in which trained monkeys combined visual and vestibular cues near-optimally to discriminate heading. During bimodal stimulation, MSTd neurons combined visual and vestibular inputs linearly with subadditive weights. Neurons with congruent heading preferences for visual and vestibular stimuli showed improvements in sensitivity that parallel behavioral effects. In contrast, neurons with opposite preferences showed diminished sensitivity under cue combination. Responses of congruent cells were more strongly correlated with monkeys' perceptual decisions than were responses of opposite cells, suggesting that the monkey monitored the activity of congruent cells to a greater extent during cue integration. These findings show that perceptual cue integration occurs in nonhuman primates and identify a population of neurons that may form its neural basis.
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“Studies of vestibular–visual integration have identified two types of multisensory neurons with similar prevalence in MSTd and VIP; those that are tuned to vestibular and visual motion in the same direction (congruent neurons) and those that prefer opposite directions (opposite neurons) (6, 8, 11).”
From How multisensory neurons solve causal inference. (2021) · cites this paper as [8]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Studies of vestibular–visual integration have identified two types of multisensory neurons with similar prevalence in MSTd and VIP; those that are tuned to vestibular and visual motion in the same direction (congruent neurons) and those that prefer opposite directions (opposite neurons) (6, 8, 11).”
From How multisensory neurons solve causal inference. (2021) · cites this paper as [8]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Congruent neurons appear to combine vestibular–visual signals in a way that assumes a common cause, and their activity is highly predictive of behavioral choice on vestibular–visual combination tasks (8–10).”
From How multisensory neurons solve causal inference. (2021) · cites this paper as [8]
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“We found that this was made possible by asymmetries in sensitivity to different cues, which are also common among macaque MSTd neurons (6, 8, 10, 11).”
From How multisensory neurons solve causal inference. (2021) · cites this paper as [8]
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“Neurophysiological work in macaque monkeys indicates that vestibular and visual signals are combined on the dorsal subdivision of the medial superior temporal area (MSTd) (6–11) and in the ventral intraparietal area (VIP) (12, 13).”
From How multisensory neurons solve causal inference. (2021) · cites this paper as [8]
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“Congruent neurons appear to combine vestibular–visual signals in a way that assumes a common cause, and their activity is highly predictive of behavioral choice on vestibular–visual combination tasks (8–10).”
From How multisensory neurons solve causal inference. (2021) · cites this paper as [8]
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“Macaque MSTd neurons sensitive to both visual and vestibular signals tend to prefer either the same (i.e., congruent neurons; Fig. 3 A, Top) or opposite directions (i.e., opposite neurons; Fig. 3 B, Top) within the two modalities (8).”
From How multisensory neurons solve causal inference. (2021) · cites this paper as [8]
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“They found that the thresholds of congruent neurons were similar to those predicted by optimal cue integration, whereas the thresholds of opposite neurons were considerably higher (Fig. 3 D, Top and E).”
From How multisensory neurons solve causal inference. (2021) · cites this paper as [8]
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“Recent models propose that uncertainty reduction depends on neural computations implementing weighted averaging of sensory estimates (24, 25).”
From Fusion of visual cues is not mandatory in children (2010) · cites this paper as [24]
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Metadata
- Authors
- Gu, Y., Angelaki, D. E., & DeAngelis, G. C.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- DeAngelis, Gregory C
- Venue
- Nature Neuroscience
- Published
- 2008-09-07
- Volume
- 11
- Issue
- 10
- Pages
- 1201-1210
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC2713666
- OpenAlex
- W2417476499
- Cited by
- 554
- References
- 51
- Citations by year
- 2026: 23 · 2025: 24 · 2024: 24 · 2023: 30 · 2022: 24 · 2021: 32 · 2020: 32 · 2019: 37 · 2018: 34 · 2017: 47 · 2016: 34 · 2015: 28 · 2014: 34 · 2013: 31 · 2012: 37
- FWCI
- 37.72
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Eye Institute (R01EY017866, EY-017866, EY-016178, R01EY016178)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Neurology › Vestibular and auditory disorders
- Keywords
- visual-vestibular integration, perceptual sensitivity, neural correlates, perceptual decision making, macaque
- MeSH terms
- Action Potentials, Analysis of Variance, Animals, Behavior, Animal, Cues, Kinesthesis, Functional Laterality, Macaca mulatta, Models, Neurological, Motion Perception, Neurons, Orientation, Photic Stimulation, Probability, Psychometrics, Psychophysics, Reaction Time, Temporal Lobe, Visual Perception, Signal Detection, Psychological, Head Movements
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