ArticleProceedings of the National Academy of Sciences of the United States of America2019
Stimulus complexity shapes response correlations in primary visual cortex.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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28 citing papers in PubMed.
- Distributed burst firing mediates optimized cortical encoding of natural self-motion.Science advances · 2026Article
- Reassessing Choice Probability: What 59 Macaque Studies Tell Us About Decision-Related Activity in Visual Cortex.bioRxiv : the preprint server for biology · 2026Article
- Top-down perceptual inference shaping the activity of early visual cortex.Nature communications · 2025Article
- Relating natural image statistics to patterns of response covariability in macaque primary visual cortex.Nature communications · 2025Article
- Expectation-dependent stimulus selectivity in the ventral visual cortical pathway.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Broadband visual stimuli improve neuronal representation and sensory perception.Nature communications · 2025Article
- Stimulus type shapes the topology of cellular functional networks in mouse visual cortex.Nature communications · 2024Article
- Dynamic fading memory and expectancy effects in the monkey primary visual cortex.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Paying attention to natural scenes in area V1.iScience · 2024Article
- How does the primate brain combine generative and discriminative computations in vision?ArXiv · 2024Article
- Bayesian encoding and decoding as distinct perspectives on neural coding.Nature neuroscience · 2023Review
- Studying the neural representations of uncertainty.Nature neuroscience · 2023Review
- Modeling the diverse effects of divisive normalization on noise correlations.PLoS computational biology · 2023Article
- Continuous multiplexed population representations of task context in the mouse primary visual cortex.Nature communications · 2023Article
- Stimulus-dependent functional network topology in mouse visual cortex.bioRxiv : the preprint server for biology · 2023Article
- Robust encoding of natural stimuli by neuronal response sequences in monkey visual cortex.Nature communications · 2023Article
- Efficient coding theory of dynamic attentional modulation.PLoS biology · 2022Article
- How the Brain Becomes the Mind: Can Thermodynamics Explain the Emergence and Nature of Emotions?Entropy (Basel, Switzerland) · 2022Article
- Task-induced neural covariability as a signature of approximate Bayesian learning and inference.PLoS computational biology · 2022Article
- The diversity and specificity of functional connectivity across spatial and temporal scales.NeuroImage · 2021Review
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Spike count correlations (SCCs) are ubiquitous in sensory cortices, are characterized by rich structure, and arise from structured internal dynamics. However, most theories of visual perception treat contributions of neurons to the representation of stimuli independently and focus on mean responses. Here, we argue that, in a functional model of visual perception, featuring probabilistic inference over a hierarchy of features, inferences about high-level features modulate inferences about low-level features ultimately introducing structured internal dynamics and patterns in SCCs. Specifically, high-level inferences for complex stimuli establish the local context in which neurons in the primary visual cortex (V1) interpret stimuli. Since the local context differentially affects multiple neurons, this conjecture predicts specific modulations in the fine structure of SCCs as stimulus identity and, more importantly, stimulus complexity varies. We designed experiments with natural and synthetic stimuli to measure the fine structure of SCCs in V1 of awake behaving macaques and assessed their dependence on stimulus identity and stimulus statistics. We show that the fine structure of SCCs is specific to the identity of natural stimuli and changes in SCCs are independent of changes in response mean. Critically, we demonstrate that stimulus specificity of SCCs in V1 can be directly manipulated by altering the amount of high-order structure in synthetic stimuli. Finally, we show that simple phenomenological models of V1 activity cannot account for the observed SCC patterns and conclude that the stimulus dependence of SCCs is a natural consequence of structured internal dynamics in a hierarchical probabilistic model of natural images.
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