ArticleNature communications2022
Multisensory correlation computations in the human brain identified by a time-resolved encoding model.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- Advances in Human Brain Dynamics in a Multimodal, Multitask, Multisensory, and Multi-Timescale Framework.Brain sciences · 2026Article
- Articulatory timing and form support distinct neural benefits during audiovisual speech.bioRxiv : the preprint server for biology · 2026Article
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- Brain-inspired perception-decision machine for fake speech detection.Scientific reports · 2026Article
- The role of beta band phase resetting in audio-visual temporal order judgment.Cognitive neurodynamics · 2025Article
- Article
- Unraveling Audiovisual Perception Across Space and Time: A Neuroinspired Computational Architecture.The European journal of neuroscience · 2025Article
- Scikit-NeuroMSI: A Generalized Framework for Modeling Multisensory Integration.Neuroinformatics · 2025Article
- Article
- Multi-timescale neural dynamics for multisensory integration.Nature reviews. Neuroscience · 2024Review
- Feature-invariant processing of spatial segregation based on temporal asynchrony.Journal of vision · 2024Article
- Intelligent Recognition Using Ultralight Multifunctional Nano-Layered Carbon Aerogel Sensors with Human-Like Tactile Perception.Nano-micro letters · 2023Article
- The processing of subthreshold visual temporal order is transitory and motivation-dependent.Scientific reports · 2023Article
- Article
- Changing the Tendency to Integrate the Senses.Brain sciences · 2022Review
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neural mechanisms that arbitrate between integrating and segregating multisensory information are essential for complex scene analysis and for the resolution of the multisensory correspondence problem. However, these mechanisms and their dynamics remain largely unknown, partly because classical models of multisensory integration are static. Here, we used the Multisensory Correlation Detector, a model that provides a good explanatory power for human behavior while incorporating dynamic computations. Participants judged whether sequences of auditory and visual signals originated from the same source (causal inference) or whether one modality was leading the other (temporal order), while being recorded with magnetoencephalography. First, we confirm that the Multisensory Correlation Detector explains causal inference and temporal order behavioral judgments well. Second, we found strong fits of brain activity to the two outputs of the Multisensory Correlation Detector in temporo-parietal cortices. Finally, we report an asymmetry in the goodness of the fits, which were more reliable during the causal inference task than during the temporal order judgment task. Overall, our results suggest the existence of multisensory correlation detectors in the human brain, which explain why and how causal inference is strongly driven by the temporal correlation of multisensory signals.
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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 OpenQuestion graph.