ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2017
Multisensory Integration Uses a Real-Time Unisensory-Multisensory Transform.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Multisensory integration of stimulus-driven and goal-driven signals during urgent saccadic choices.bioRxiv : the preprint server for biology · 2026Article
- The reliability of multisensory integration in enhancing behavioral performance.Neuroscience and biobehavioral reviews · 2026Review
- Integration of audiovisual motion in dorsolateral prefrontal cortical neurons.Journal of neurophysiology · 2025Article
- Scikit-NeuroMSI: A Generalized Framework for Modeling Multisensory Integration.Neuroinformatics · 2025Article
- Review
- The multisensory control of sequential actions.Experimental brain research · 2024Article
- The brain can develop conflicting multisensory principles to guide behavior.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Cross-modal exposure restores multisensory enhancement after hemianopia.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Predictability alters multisensory responses by modulating unisensory inputs.Frontiers in neuroscience · 2023Article
- Morphology and Dendrite-Specific Synaptic Properties of Midbrain Neurons Shape Multimodal Integration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Association Cortex Is Essential to Reverse Hemianopia by Multisensory Training.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Neuroplasticity and Crossmodal Connectivity in the Normal, Healthy Brain.Psychology & neuroscience · 2021Article
- Editorial: Sensory Processing Across the Lifespan: A 25-Year Initiative to Understand Neurophysiology, Behaviors, and Treatment Effectiveness for Sensory Processing.Frontiers in integrative neuroscience · 2021Article
- Using superior colliculus principles of multisensory integration to reverse hemianopia.Neuropsychologia · 2020Article
- Experience Creates the Multisensory Transform in the Superior Colliculus.Frontiers in integrative neuroscience · 2020Article
- Sensorimotor maps can be dynamically calibrated using an adaptive-filter model of the cerebellum.PLoS computational biology · 2019Article
- Cross-Modal Competition: The Default Computation for Multisensory Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Electrophysiological correlates of emotional crossmodal processing in binge drinking.Cognitive, affective & behavioral neuroscience · 2018Article
- Multimodal sensory information is represented by a combinatorial code in a sensorimotor system.PLoS biology · 2018Article
- Development of the Mechanisms Governing Midbrain Multisensory Integration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
Corrections and comments
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Authors and funding
3 authors.
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Abstract
The manner in which the brain integrates different sensory inputs to facilitate perception and behavior has been the subject of numerous speculations. By examining multisensory neurons in cat superior colliculus, the present study demonstrated that two operational principles are sufficient to understand how this remarkable result is achieved: (1) unisensory signals are integrated continuously and in real time as soon as they arrive at their common target neuron and (2) the resultant multisensory computation is modified in shape and timing by a delayed, calibrating inhibition. These principles were tested for descriptive sufficiency by embedding them in a neurocomputational model and using it to predict a neuron's moment-by-moment multisensory response given only knowledge of its responses to the individual modality-specific component cues. The predictions proved to be highly accurate, reliable, and unbiased and were, in most cases, not statistically distinguishable from the neuron's actual instantaneous multisensory response at any phase throughout its entire duration. The model was also able to explain why different multisensory products are often observed in different neurons at different time points, as well as the higher-order properties of multisensory integration, such as the dependency of multisensory products on the temporal alignment of crossmodal cues. These observations not only reveal this fundamental integrative operation, but also identify quantitatively the multisensory transform used by each neuron. As a result, they provide a means of comparing the integrative profiles among neurons and evaluating how they are affected by changes in intrinsic or extrinsic factors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.