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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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 measuredMSTd 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 measuredCongruent 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 measuredAsymmetries 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]
Congruent neuron activity is highly predictive of behavioral choice on vestibular-visual combination tasks.
“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]
Macaque MSTd neurons sensitive to both visual and vestibular signals tend to prefer either the same or opposite directions within the two modalities.
“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]
The thresholds of congruent MSTd neurons were similar to those predicted by optimal cue integration, whereas the thresholds of opposite neurons were considerably higher.
“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]
Recent models propose that uncertainty reduction depends on neural computations implementing weighted averaging of sensory estimates.
“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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Cites
(1966) · Medical Entomology and Zoology · Cited by 10,293 · see citing works
Signal detection theory and psychophysics
Ingleby, D. (1967) · Journal of Sound and Vibration · doi:10.1016/0022-460x(67)90197-6 · Cited by 8,616 · see citing works
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783 · see citing works
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 · see citing works
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 · see citing works
The psychometric function: I. Fitting, sampling, and goodness of fit
Wichmann, F. A., & Hill, N. J. (2001) · Perception & Psychophysics · doi:10.3758/bf03194544 · Cited by 2,359 · see citing works
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 · see citing works
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 · see citing works
(1994) · Choice Reviews Online · doi:10.5860/choice.31-4365 · Cited by 1,897 · see citing works
Is neocortex essentially multisensory?
GHAZANFAR, A., & SCHROEDER, C. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.04.008 · Cited by 1,463 · see citing works
Bayesian inference with probabilistic population codes
Ma, W. J., Beck, J. M., Latham, P. E., & Pouget, A. (2006) · Nature Neuroscience · doi:10.1038/nn1790 · Cited by 1,457 · see citing works
Perception as Bayesian Inference
(1996) · doi:10.1017/cbo9780511984037 · Cited by 1,425 · see citing works
A relationship between behavioral choice and the visual responses of neurons in macaque MT
Britten, K. H., Newsome, W. T., Shadlen, M. N., Celebrini, S., & Movshon, J. A. (1996) · Visual Neuroscience · doi:10.1017/s095252380000715x · Cited by 1,049 · see citing works
Duffy, C. J., & Wurtz, R. H. (1991) · Journal of Neurophysiology · doi:10.1152/jn.1991.65.6.1329 · Cited by 887 · see citing works
Tanaka, K., Hikosaka, K., Saito, H., Yukie, M., Fukada, Y., & Iwai, E. (1986) · Journal of Neuroscience · doi:10.1523/jneurosci.06-01-00134.1986 · Cited by 841 · see citing works
Shadlen, M., Britten, K., Newsome, W., & Movshon, J. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-04-01486.1996 · Cited by 824 · see citing works
SENSE AND THE SINGLE NEURON: Probing the Physiology of Perception
Parker, A. J., & Newsome, W. T. (1998) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.21.1.227 · Cited by 801 · see citing works
Integration of Proprioceptive and Visual Position-Information: An Experimentally Supported Model
van Beers, R. J., Sittig, A. C., & Gon, J. J. D. V. D. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.81.3.1355 · Cited by 742 · see citing works
Essen, D. C. V., Maunsell, J. H. R., & Bixby, J. L. (1981) · The Journal of Comparative Neurology · doi:10.1002/cne.901990302 · Cited by 692 · see citing works
Multiple visual areas in the caudal superior temporal sulcus of the macaque
Desimone, R., & Ungerleider, L. G. (1986) · The Journal of Comparative Neurology · doi:10.1002/cne.902480203 · Cited by 588 · see citing works
Komatsu, H., & Wurtz, R. H. (1988) · Journal of Neurophysiology · doi:10.1152/jn.1988.60.2.580 · Cited by 545 · see citing works
Slant from texture and disparity cues: Optimal cue combination
Hillis, J. M., Watt, S. J., Landy, M. S., & Banks, M. S. (2004) · Journal of Vision · doi:10.1167/4.12.1 · Cited by 421 · see citing works
Do humans optimally integrate stereo and texture information for judgments of surface slant?
Knill, D. C., & Saunders, J. A. (2003) · Vision Research · doi:10.1016/s0042-6989(03)00458-9 · Cited by 403 · see citing works
Probabilistic Models of the Brain : Perception and Neural Function
Rao, R. P. N., Olshausen, B. A., & Lewicki, M. S. (2002) · Cited by 385 · see citing works
Multisensory Visual-Auditory Object Recognition in Humans: a High-density Electrical Mapping Study
Molholm, S. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh007 · Cited by 374 · see citing works
Tanaka, K., Fukada, Y., & Saito, H. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.62.3.642 · Cited by 362 · see citing works
Response of monkey MST neurons to optic flow stimuli with shifted centers of motion
Duffy, C., & Rh, W. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-07-05192.1995 · Cited by 349 · see citing works
A revised view of sensory cortical parcellation
Wallace, M. T., Ramachandran, R., & Stein, B. E. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0305697101 · Cited by 329 · see citing works
Optimal integration of texture and motion cues to depth
Jacobs, R. A. (1999) · Vision Research · doi:10.1016/s0042-6989(99)00088-7 · Cited by 324 · see citing works
Celebrini, S., & Newsome, W. (1994) · Journal of Neuroscience · doi:10.1523/jneurosci.14-07-04109.1994 · Cited by 323 · see citing works
Gu, Y., Watkins, P. V., Angelaki, D. E., & DeAngelis, G. C. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.2356-05.2006 · Cited by 316 · see citing works
Self-citationEvaluating the Operations Underlying Multisensory Integration in the Cat Superior Colliculus
Stanford, T. R., Quessy, S., & Stein, B. E. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.5095-04.2005 · Cited by 314 · see citing works
Neural population code for fine perceptual decisions in area MT
Purushothaman, G., & Bradley, D. C. (2005) · Nature Neuroscience · doi:10.1038/nn1373 · Cited by 309 · see citing works
Perceptually Bistable Three-Dimensional Figures Evoke High Choice Probabilities in Cortical Area MT
Dodd, J., Krug, K., Cumming, B. G., & Parker, A. J. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-13-04809.2001 · Cited by 306 · see citing works
A functional link between area MSTd and heading perception based on vestibular signals
Gu, Y., DeAngelis, G. C., & Angelaki, D. E. (2007) · Nature Neuroscience · doi:10.1038/nn1935 · Cited by 297 · see citing works
Self-citationMultisensory Integration in the Ventral Intraparietal Area of the Macaque Monkey.
Avillac, M., Ben Hamed, S., & Duhamel, J.-R. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2646-06.2007 · Cited by 281 · see citing works
MST Neurons Respond to Optic Flow and Translational Movement
Duffy, C. J. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.4.1816 · Cited by 277 · see citing works
Sugihara, T., Diltz, M. D., Averbeck, B. B., & Romanski, L. M. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.3550-06.2006 · Cited by 273 · see citing works
Bayesian decision theory and psychophysics
Yuille, A. L., & Bülthoff, H. H. (1996) · Perception as Bayesian Inference · doi:10.1017/cbo9780511984037.006 · Cited by 250 · cited 1× · see citing works
“Multisensory integration in human behavior often follows predictions of a quantitative framework that applies Bayesian statistical inference to the problem of cue integratio”
BackgroundKomatsu, H., & Wurtz, R. H. (1988) · Journal of Neurophysiology · doi:10.1152/jn.1988.60.2.621 · Cited by 207 · see citing works
Contribution of Area MT to Stereoscopic Depth Perception
Uka, T., & DeAngelis, G. C. (2004) · Neuron · doi:10.1016/s0896-6273(04)00186-2 · Cited by 201 · see citing works
Self-citationTakahashi, K., Gu, Y., May, P. J., Newlands, S. D., DeAngelis, G. C., & Angelaki, D. E. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.0817-07.2007 · Cited by 162 · see citing works
Self-citationMacaque V2 Neurons, But Not V1 Neurons, Show Choice-Related Activity
Nienborg, H., & Cumming, B. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2256-06.2006 · Cited by 161 · see citing works
Heading Representation in MST: Sensory Interactions and Population Encoding
Page, W. K., & Duffy, C. J. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00493.2002 · Cited by 146 · see citing works
Tanaka, K., Sugita, Y., Moriya, M., & Saito, H. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.69.1.128 · Cited by 140 · see citing works
Linear Vestibular Self‐Motion Signals in Monkey Medial Superior Temporal Area
Bremmer, F., Kubischik, M., Pekel, M., Lappe, M., & HOFFMANN, K. ‐. (1999) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1999.tb09191.x · Cited by 136 · see citing works
The integration of auditory and visual motion signals at threshold
Wuerger, S. M., Hofbauer, M., & Meyer, G. F. (2003) · Perception & Psychophysics · doi:10.3758/bf03194844 · Cited by 96 · see citing works
Neuronal activity and its links with the perception of multi–stable figures
Parker, A. J., Krug, K., & Cumming, B. G. (2002) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2002.1112 · Cited by 74 · see citing works
Psychophysically measured task strategy for disparity discrimination is reflected in V2 neurons
Nienborg, H., & Cumming, B. G. (2007) · Nature Neuroscience · doi:10.1038/nn1991 · Cited by 59 · see citing works
Krug, K. (2004) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2003.1415 · Cited by 59 · see citing works
Bayesian modeling of visual perception
Mamassian, P., Landy, M. S., & Maloney, L. T. (2002) · Cited by 49 · see citing works
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Sorted by citations
Multisensory brain mechanisms of bodily self-consciousness.
Blanke, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3292 · Cited by 1,147 · see citing works
Neural correlates of reliability-based cue weighting during multisensory integration
Fetsch, C. R., Pouget, A., DeAngelis, G. C., & Angelaki, D. E. (2012) · Nature Neuroscience · doi:10.1038/nn.2983 · Cited by 459 · see citing works
Self-citationDynamic Reweighting of Visual and Vestibular Cues during Self-Motion Perception
Fetsch, C. R., Turner, A. H., DeAngelis, G. C., & Angelaki, D. E. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2574-09.2009 · Cited by 406 · see citing works
Self-citationIntegration of visual motion and locomotion in mouse visual cortex
Saleem, A. B., Ayaz, A., Jeffery, K. J., Harris, K. D., & Carandini, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3567 · Cited by 402 · see citing works
Multisensory integration: psychophysics, neurophysiology, and computation
Angelaki, D. E., Gu, Y., & DeAngelis, G. C. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.06.008 · Cited by 383 · see citing works
Self-citationSuboptimality in perceptual decision making
Rahnev, D., & Denison, R. N. (2018) · Behavioral and Brain Sciences · doi:10.1017/s0140525x18000936 · Cited by 342 · see citing works
Vection and visually induced motion sickness: how are they related?
Keshavarz, B., Riecke, B. E., Hettinger, L. J., & Campos, J. L. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00472 · Cited by 325 · see citing works
“…both behavioral and neurophysiological levels (Stein and Meredith, 1993; Stein et al., 2014), and across a variety of sensory combinations, with some of the most recent evidence being in the context of visual-vestibular integration (Gu et al., 2008; Fetsch et al., 2009; Butler et al., 2010, 2014).”
BackgroundA normalization model of multisensory integration
Ohshiro, T., Angelaki, D. E., & DeAngelis, G. C. (2011) · Nature Neuroscience · doi:10.1038/nn.2815 · Cited by 320 · see citing works
Self-citationFetsch, C. R., DeAngelis, G. C., & Angelaki, D. E. (2013) · Nature reviews. Neuroscience · doi:10.1038/nrn3503 · Cited by 303 · see citing works
Self-citationNeural Coding of Uncertainty and Probability
Ma, W. J., & Jazayeri, M. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014017 · Cited by 290 · see citing works
Bayesian integration of visual and vestibular signals for heading
Butler, J. S., Smith, S. T., Campos, J. L., & Bulthoff, H. H. (2010) · Journal of Vision · doi:10.1167/10.11.23 · Cited by 250 · see citing works
Perceptual decision making in less than 30 milliseconds
Stanford, T. R., Shankar, S., Massoglia, D. P., Costello, M. G., & Salinas, E. (2010) · Nature Neuroscience · doi:10.1038/nn.2485 · Cited by 228 · see citing works
Bayesian Computation through Cortical Latent Dynamics
Sohn, H., Narain, D., Meirhaeghe, N., & Jazayeri, M. (2019) · Neuron · doi:10.1016/j.neuron.2019.06.012 · Cited by 226 · see citing works
Perceptual Learning Reduces Interneuronal Correlations in Macaque Visual Cortex
Gu, Y., Liu, S., Fetsch, C. R., Yang, Y., Fok, S., Sunkara, A., DeAngelis, G. C., & Angelaki, D. E. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.015 · Cited by 218 · see citing works
Self-citationBayesian models: the structure of the world, uncertainty, behavior, and the brain
Vilares, I., & Kording, K. P. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.05965.x · Cited by 214 · see citing works
Multisensory Integration in Macaque Visual Cortex Depends on Cue Reliability
Morgan, M. L., DeAngelis, G. C., & Angelaki, D. E. (2008) · Neuron · doi:10.1016/j.neuron.2008.06.024 · Cited by 208 · see citing works
Self-citationMultisensory Decision-Making in Rats and Humans
Raposo, D. C., Sheppard, J. P., Schrater, P., & Churchland, A. K. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.4998-11.2012 · Cited by 207 · see citing works
Effects of Aging in Multisensory Integration: A Systematic Review
de Dieuleveult, A. L., Siemonsma, P. C., van Erp, J. B. F., & Brouwer, A.-M. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00080 · Cited by 200 · see citing works
Decision-Related Activity in Sensory Neurons: Correlations Among Neurons and with Behavior
Nienborg, H., Cohen, M. R., & Cumming, B. G. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150403 · Cited by 199 · see citing works
Cardin, V., & Smith, A. T. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp268 · Cited by 193 · see citing works
Representation of Vestibular and Visual Cues to Self-Motion in Ventral Intraparietal Cortex
Chen, A., DeAngelis, G. C., & Angelaki, D. E. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0395-11.2011 · Cited by 192 · see citing works
Self-citationWimmer, K., Compte, A., Roxin, A., Peixoto, D., Renart, A., & de la Rocha, J. (2015) · Nature Communications · doi:10.1038/ncomms7177 · Cited by 182 · see citing works
Optic Flow Processing for the Assessment of Object Movement during Ego Movement
Warren, P. A., & Rushton, S. K. (2009) · Current Biology · doi:10.1016/j.cub.2009.07.057 · Cited by 173 · see citing works
Macaque Parieto-Insular Vestibular Cortex: Responses to Self-Motion and Optic Flow
Chen, A., DeAngelis, G. C., & Angelaki, D. E. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4029-09.2010 · Cited by 173 · see citing works
Self-citationOrganizing probabilistic models of perception
Ma, W. J. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.08.010 · Cited by 167 · see citing works
Christophe Lopez, A. (2015) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000286 · Cited by 166 · see citing works
The vestibular system: a spatial reference for bodily self-consciousness.
Pfeiffer, C., Serino, A., & Blanke, O. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00031 · Cited by 165 · see citing works
Fusion of visual cues is not mandatory in children
Nardini, M., Bedford, R., & Mareschal, D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001699107 · Cited by 161 · see citing works
Inferring decoding strategies from choice probabilities in the presence of correlated variability
Haefner, R. M., Gerwinn, S., Macke, J. H., & Bethge, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3309 · Cited by 161 · see citing works
Decoding of MSTd Population Activity Accounts for Variations in the Precision of Heading Perception
Gu, Y., Fetsch, C. R., Adeyemo, B., DeAngelis, G. C., & Angelaki, D. E. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.026 · Cited by 159 · see citing works
Self-citationZhaoping, L. (2014) · doi:10.1093/acprof:oso/9780199564668.001.0001 · Cited by 158 · see citing works
Fetsch, C. R., DeAngelis, G. C., & Angelaki, D. E. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07207.x · Cited by 154 · see citing works
“Heading sensitivity of MSTd neurons (Gu et al., 2008).”
BackgroundMethodResultInfluentialSelf-citationEffects of aging on eye movements in the real world
Dowiasch, S., Marx, S., Einhäuser, W., & Bremmer, F. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00046 · Cited by 149 · see citing works
Convergence of Vestibular and Visual Self-Motion Signals in an Area of the Posterior Sylvian Fissure
Chen, A., DeAngelis, G. C., & Angelaki, D. E. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.1266-11.2011 · Cited by 141 · see citing works
Self-citationThe parieto-insular vestibular cortex in humans: more than a single area?
Frank, S., & Greenlee, M. W. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00907.2017 · Cited by 141 · see citing works
Cybersickness: a Multisensory Integration Perspective
Gallagher, M., & Ferrè, E. R. (2018) · Multisensory Research · doi:10.1163/22134808-20181293 · Cited by 140 · see citing works
Vestibular Inputs to Human Motion-Sensitive Visual Cortex
Smith, A. T., Wall, M. B., & Thilo, K. V. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr179 · Cited by 136 · see citing works
Optimal multisensory decision-making in a reaction-time task
Drugowitsch, J., DeAngelis, G. C., Klier, E. M., Angelaki, D. E., & Pouget, A. (2014) · eLife · doi:10.7554/elife.03005 · Cited by 133 · see citing works
Self-citationPerceptual Inference, Learning, and Attention in a Multisensory World
Noppeney, U. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100120-085519 · Cited by 133 · see citing works
How Can Single Sensory Neurons Predict Behavior?
Pitkow, X., Liu, S., Angelaki, D. E., DeAngelis, G. C., & Pouget, A. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.033 · Cited by 129 · see citing works
Self-citationFunctional Specializations of the Ventral Intraparietal Area for Multisensory Heading Discrimination
Chen, A., DeAngelis, G. C., & Angelaki, D. E. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4522-12.2013 · Cited by 129 · see citing works
Self-citationGu, Y., DeAngelis, G. C., & Angelaki, D. E. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5154-11.2012 · Cited by 128 · see citing works
Self-citationCue combination in human spatial navigation
Chen, X., McNamara, T. P., Kelly, J. W., & Wolbers, T. (2017) · Cognitive Psychology · doi:10.1016/j.cogpsych.2017.04.003 · Cited by 122 · see citing works
A Vestibular Sensation: Probabilistic Approaches to Spatial Perception
Angelaki, D. E., Klier, E. M., & Snyder, L. H. (2009) · Neuron · doi:10.1016/j.neuron.2009.11.010 · Cited by 122 · see citing works
Self-citationFotowat, H., Harrison, R. R., & Gabbiani, F. (2011) · Neuron · doi:10.1016/j.neuron.2010.12.007 · Cited by 120 · see citing works
The integration of motion and disparity cues to depth in dorsal visual cortex
Ban, H., Preston, T. J., Meeson, A., & Welchman, A. E. (2012) · Nature Neuroscience · doi:10.1038/nn.3046 · Cited by 113 · see citing works
Current perspectives and methods in studying neural mechanisms of multisensory interactions
Klemen, J., & Chambers, C. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.04.015 · Cited by 112 · see citing works
Acerbi, L., Dokka, K., Angelaki, D. E., & Ma, W. J. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006110 · Cited by 111 · see citing works
Self-citationA review of human sensory dynamics for application to models of driver steering and speed control
Nash, C., Cole, D. J., & Bigler, R. S. (2016) · Biological Cybernetics · doi:10.1007/s00422-016-0682-x · Cited by 106 · see citing works
Models and processes of multisensory cue combination
Seilheimer, R. L., Rosenberg, A., & Angelaki, D. E. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.11.008 · Cited by 105 · see citing works
Self-citationNonlinear Integration of Visual and Haltere Inputs in Fly Neck Motor Neurons
Huston, S. J., & Krapp, H. G. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2915-09.2009 · Cited by 105 · see citing works
Mu, Y., Li, X., Zhang, B., & Du, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.05.035 · Cited by 103 · see citing works
A faithful internal representation of walking movements in the Drosophila visual system
Fujiwara, T., Cruz, T. L., Bohnslav, J. P., & Chiappe, M. E. (2016) · Nature Neuroscience · doi:10.1038/nn.4435 · Cited by 102 · see citing works
Computational principles and models of multisensory integration
Chandrasekaran, C. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.11.002 · Cited by 102 · see citing works
Multisensory integration in the estimation of walked distances
Campos, J. L., Butler, J. S., & Bülthoff, H. (2012) · Experimental Brain Research · doi:10.1007/s00221-012-3048-1 · Cited by 102 · see citing works
Multisensory integration: resolving sensory ambiguities to build novel representations
Green, A. M., & Angelaki, D. E. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.04.009 · Cited by 102 · see citing works
Self-citationChen, A., Gu, Y., Liu, S., DeAngelis, G. C., & Angelaki, D. E. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2485-15.2016 · Cited by 100 · see citing works
Self-citationVisual and vestibular cue integration for heading perception in extrastriate visual cortex
Angelaki, D. E., Gu, Y., & DeAngelis, G. C. (2010) · The Journal of Physiology · doi:10.1113/jphysiol.2010.194720 · Cited by 98 · see citing works
Self-citationNienborg, H., & Cumming, B. G. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.05.002 · Cited by 98 · see citing works
Directional Asymmetries and Age Effects in Human Self-Motion Perception
Roditi, R. E., & Crane, B. T. (2012) · Journal of the Association for Research in Otolaryngology · doi:10.1007/s10162-012-0318-3 · Cited by 97 · see citing works
Kuehn, E., Perez-Lopez, M. B., Diersch, N., Doehler, J., Wolbers, T., & Riemer, M. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.11.016 · Cited by 96 · see citing works
McGuire, L. M., & Sabes, P. N. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2921-10.2011 · Cited by 95 · see citing works
Where are multisensory signals combined for perceptual decision-making?
Bizley, J. K., Jones, G. P., & Town, S. M. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.06.003 · Cited by 95 · see citing works
Diverse Spatial Reference Frames of Vestibular Signals in Parietal Cortex
Chen, X., DeAngelis, G. C., & Angelaki, D. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.006 · Cited by 94 · see citing works
Self-citationSelf-motion leads to mandatory cue fusion across sensory modalities
Prsa, M., Gale, S., & Blanke, O. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00439.2012 · Cited by 91 · see citing works
Impact Prediction by Looming Visual Stimuli Enhances Tactile Detection
Cléry, J. C., Guipponi, O., Odouard, S., Wardak, C., & Hamed, S. B. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3031-14.2015 · Cited by 90 · see citing works
Guiding locomotion in complex, dynamic environments
Fajen, B. R. (2013) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2013.00085 · Cited by 90 · see citing works
Visual–Vestibular Integration for Self-Motion Perception
DeAngelis, G. C., & Angelaki, D. E. (2011) · Frontiers in neuroscience · doi:10.1201/b11092-39 · Cited by 89 · see citing works
Self-citationMultisensory coding of angular head velocity in the retrosplenial cortex
Keshavarzi, S., Bracey, E. F., Faville, R., Campagner, D., Tyson, A. L., Lenzi, S. C., Branco, T., & Margrie, T. W. (2021) · Neuron · doi:10.1016/j.neuron.2021.10.031 · Cited by 88 · see citing works
Integration of visual and inertial cues in perceived heading of self-motion
de Winkel, K. N., Weesie, J., Werkhoven, P. J., & Groen, E. L. (2010) · Journal of Vision · doi:10.1167/10.12.1 · Cited by 83 · see citing works
Meijer, G. T., Mertens, P. E. C., Pennartz, C. M. A., Olcese, U., & Lansink, C. S. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.01.004 · Cited by 83 · see citing works
Multisensory Calibration Is Independent of Cue Reliability
Zaidel, A., Turner, A. H., & Angelaki, D. E. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2732-11.2011 · Cited by 83 · see citing works
Self-citationNeural Activity in Cortical Area V4 Underlies Fine Disparity Discrimination
Shiozaki, H., Tanabe, S., Doi, T., & Fujita, I. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5083-11.2012 · Cited by 82 · see citing works
Causal inference accounts for heading perception in the presence of object motion
Dokka, K., Park, H., Jansen, M., DeAngelis, G. C., & Angelaki, D. E. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820373116 · Cited by 80 · see citing works
Self-citationSensation during Active Behaviors
Busse, L., Cardin, J. A., Chiappe, M. E., Halassa, M. M., McGinley, M. J., Yamashita, T., & Saleem, A. B. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1828-17.2017 · Cited by 80 · see citing works
Cardin, V., & Smith, A. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.01120.2010 · Cited by 79 · see citing works
Noel, J., Blanke, O., & Serino, A. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13867 · Cited by 79 · see citing works
Massot, C., Chacron, M. J., & Cullen, K. E. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00910.2010 · Cited by 78 · see citing works
Ohshiro, T., Angelaki, D. E., & DeAngelis, G. C. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.043 · Cited by 77 · see citing works
Self-citationNienborg, H., & Cumming, B. G. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2340-13.2014 · Cited by 75 · see citing works
Choice-correlated activity fluctuations underlie learning of neuronal category representation
Engel, T. A., Chaisangmongkon, W., Freedman, D. J., & Wang, X. (2015) · Nature Communications · doi:10.1038/ncomms7454 · Cited by 75 · see citing works
Approaches to Understanding Multisensory Dysfunction in Autism Spectrum Disorder
Siemann, J. K., Veenstra‐VanderWeele, J., & Wallace, M. T. (2020) · Autism Research · doi:10.1002/aur.2375 · Cited by 74 · see citing works
“, 2005] and the medial superior temporal area [Bruce et al., 1981; Ghazanfar et al., 2008; Gu et al., 2008].”
BackgroundInfluentialBritton, Z., & Arshad, Q. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00063 · Cited by 74 · see citing works
Fetsch, C. R., Odean, N. N., Jeurissen, D., El-Shamayleh, Y., Horwitz, G. D., & Shadlen, M. N. (2018) · eLife · doi:10.7554/elife.36523 · Cited by 74 · see citing works
Neurocomputational approaches to modelling multisensory integration in the brain: A review
Ursino, M., Cuppini, C., & Magosso, E. (2014) · Neural Networks · doi:10.1016/j.neunet.2014.08.003 · Cited by 74 · see citing works
Choice-related activity and correlated noise in subcortical vestibular neurons
Liu, S., Gu, Y., DeAngelis, G. C., & Angelaki, D. E. (2012) · Nature Neuroscience · doi:10.1038/nn.3267 · Cited by 73 · see citing works
Self-citationInference in the Brain: Statistics Flowing in Redundant Population Codes
Pitkow, X., & Angelaki, D. E. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.028 · Cited by 73 · see citing works
Self-citationHou, H., Zheng, Q., Zhao, Y., Pouget, A., & Gu, Y. (2019) · Neuron · doi:10.1016/j.neuron.2019.08.038 · Cited by 72 · see citing works
Self-citationDissecting neural circuits for multisensory integration and crossmodal processing
Yau, J. M., DeAngelis, G. C., & Angelaki, D. E. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0203 · Cited by 71 · see citing works
Self-citationHumans treat unreliable filled-in percepts as more real than veridical ones
Ehinger, B., Häusser, K., Ossandón, J., & Peter König, B. (2017) · eLife · doi:10.7554/elife.21761 · Cited by 71 · see citing works
Vestibular Precision at the Level of Perception, Eye Movements, Posture, and Neurons
Diaz‐Artiles, A., & Karmali, F. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.05.028 · Cited by 71 · see citing works
Gravity Influences Top-Down Signals in Visual Processing
Cheron, G. A., Leroy, A., Palmero‐Soler, E., Saedeleer, C. D., Bengoetxea, A., Cebolla, A.-M., Vidal, M., Dan, B., Berthoz, A., & McIntyre, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0082371 · Cited by 71 · see citing works
A neural hierarchy for illusions of time: Duration adaptation precedes multisensory integration
Heron, J., Hotchkiss, J., Aaen‐Stockdale, C., Roach, N. W., & Whitaker, D. (2013) · Journal of Vision · doi:10.1167/13.14.4 · Cited by 67 · see citing works
Karmali, F., Lim, K., & Merfeld, D. M. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00332.2013 · Cited by 67 · see citing works
Vestibular Facilitation of Optic Flow Parsing
MacNeilage, P. R., Zhang, Z., DeAngelis, G. C., & Angelaki, D. E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040264 · Cited by 67 · see citing works
Self-citationThe neural mechanisms of reliability weighted integration of shape information from vision and touch
Helbig, H. B., Ernst, M. O., Ricciardi, E., Pietrini, P., Thielscher, A., Mayer, K. M., Schultz, J., & Noppeney, U. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.072 · Cited by 67 · see citing works
How multisensory neurons solve causal inference.
Rideaux, R., Storrs, K. R., Maiello, G., & Welchman, A. E. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2106235118 · Cited by 65 · see citing works
“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).”
InfluentialCarriot, J., Jamali, M., Brooks, J. X., & Cullen, K. E. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3540-14.2015 · Cited by 65 · see citing works
Late Development of Cue Integration Is Linked to Sensory Fusion in Cortex
Dekker, T. M., Ban, H., van der Velde, B., Sereno, M. I., Welchman, A. E., & Marko Nardini, A. (2015) · Current Biology · doi:10.1016/j.cub.2015.09.043 · Cited by 64 · see citing works
Human Areas V3A and V6 Compensate for Self-Induced Planar Visual Motion
Fischer, E., Bülthoff, H., Logothetis, N. K., & Bartels, A. (2012) · Neuron · doi:10.1016/j.neuron.2012.01.022 · Cited by 63 · see citing works
- 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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