ArticleNeuron2017
A Neural Signature of Divisive Normalization at the Level of Multisensory Integration in Primate Cortex.
Article in Neuron, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Neural Circuit with Top-Down Inhibitory Feedback Outperforms Optimal Bayesian Integration in Multisensory Integration.Neuroscience bulletin · 2026Article
- Behavioral engagement facilitates auditory neuron responses beyond their receptive fields.PLoS biology · 2026Article
- Article
- Multisensory suppressive neurons can implement Bayesian-like nonlinearly weighted sensory combination.Frontiers in human neuroscience · 2026Article
- Cortical vestibular-visual interactions and cross-modal plasticity-adaptive neural processes for stable perception.Frontiers in neural circuits · 2026Review
- Decoding self-motion: insights into visual-vestibular causal inference.Frontiers in human neuroscience · 2026Review
- Beyond Divisive Normalization: Scalable Feedforward Networks for Multisensory Integration Across Reference Frames.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Hierarchical Neural Circuit Theory of Normalization and Inter-areal Communication.bioRxiv : the preprint server for biology · 2025Article
- Review
- Relating sparse and predictive coding to divisive normalization.PLoS computational biology · 2025Article
- Combined manifestation of two geometric visual illusions.Attention, perception & psychophysics · 2024Article
- Signal switching may enhance processing power of the brain.Trends in cognitive sciences · 2024Review
- Conductance-based dendrites perform Bayes-optimal cue integration.PLoS computational biology · 2024Article
- Multisensory Integration Underlies the Distinct Representation of Odor-Taste Mixtures in the Gustatory Cortex of Behaving Rats.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Response sub-additivity and variability quenching in visual cortex.Nature reviews. Neuroscience · 2024Review
- Divisively normalized neuronal processing of uncertain visual feedback for visuomotor learning.Communications biology · 2023Article
- Divisive normalization processors in the early visual system of the Drosophila brain.Biological cybernetics · 2023Article
- Modeling the diverse effects of divisive normalization on noise correlations.PLoS computational biology · 2023Article
- Effects of normalized summation in the visual illusion of extent.Attention, perception & psychophysics · 2023Article
- A theory of autism bridging across levels of description.Trends in cognitive sciences · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Studies of multisensory integration by single neurons have traditionally emphasized empirical principles that describe nonlinear interactions between inputs from two sensory modalities. We previously proposed that many of these empirical principles could be explained by a divisive normalization mechanism operating in brain regions where multisensory integration occurs. This normalization model makes a critical diagnostic prediction: a non-preferred sensory input from one modality, which activates the neuron on its own, should suppress the response to a preferred input from another modality. We tested this prediction by recording from neurons in macaque area MSTd that integrate visual and vestibular cues regarding self-motion. We show that many MSTd neurons exhibit the diagnostic form of cross-modal suppression, whereas unisensory neurons in area MT do not. The normalization model also fits population responses better than a model based on subtractive inhibition. These findings provide strong support for a divisive normalization mechanism in multisensory integration.
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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 OpenQuestion graph.