Cited by 554Multisensory perception and integrationVisual perception and processing mechanismsVestibular and auditory disorders

Neural correlates of multisensory cue integration in macaque MSTd

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Gu, Yong, Angelaki, Dora E, DeAngelis, Gregory C·2008·Nature Neuroscience

Abstract

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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Integrity signals

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Crossref · 10.1038/nn.2191

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  • MSTd and VIP contain congruent neurons tuned to same-direction vestibular and visual motion.

    “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]

    The Results (Neuronal sensitivity during cue combination; page unavailable) identify MSTd congruent neurons whose visual and vestibular heading preferences align, and the Methods (Data analysis; page unavailable) distinguish congruent from opposite tuning. The paper does not report corresponding neurons in VIP or establish similar prevalence in MSTd and VIP. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • MSTd and VIP contain opposite neurons tuned to opposite-direction vestibular and visual motion.

    “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]

    The Methods (Data analysis; page unavailable) define MSTd neurons with opposing visual and vestibular tuning as CI-opposite cells, supporting the MSTd portion. The paper does not establish that VIP contains these neurons or that the two cell types have similar prevalence in MSTd and VIP. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Congruent neurons combine vestibular-visual signals in a way that assumes a common cause.

    “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]

    The Discussion (page not specified) reports that congruent MSTd cells improve their sensitivity when visual and vestibular cues are combined, supporting the cue-combination part of the claim. The Results section on linear summation (page not specified) says congruent and opposite cells use the same linear weighting of those inputs. The paper does not establish that congruent cells assume a common cause for the signals. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • Asymmetries in sensitivity to different cues are common among macaque MSTd neurons.

    “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]

  • Vestibular and visual signals are combined in macaque MSTd.

    “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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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
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
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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