ArticleNeuron2026
Recurrent cortical networks encode natural sensory statistics via sequence filtering.
Article in Neuron, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Tuft Dendrite Spikes Are Accompanied by Selective Input From Distinct Functional Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Inter-regional interactions uncouple within-region inhibition stabilization and paradoxical responses.bioRxiv : the preprint server for biology · 2026Article
- Tuft dendrite spikes are accompanied by selective input from distinct functional networks.bioRxiv : the preprint server for biology · 2026Article
- Optogenetic circuit mapping reveals connectivity and synaptic physiology of T-stellate projections from the cochlear nucleus to the auditory midbrain.bioRxiv : the preprint server for biology · 2026Article
- Millimeter-scale selective amplification in the developing visual cortex.bioRxiv : the preprint server for biology · 2026Article
- Cellular and subcellular specialization enables biology-constrained deep learning.Cell reports · 2026Article
- Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Feature-specific inhibitory connectivity augments the accuracy of cortical representations.bioRxiv : the preprint server for biology · 2025Article
- Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.bioRxiv : the preprint server for biology · 2025Article
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Abstract
Recurrent neural networks can generate dynamics, but in the sensory cortex, it has been unclear if any dynamic processing is supported by the dense recurrent excitatory-excitatory network. Here, we show a role for recurrent connections in the mouse visual cortex: they support powerful dynamical computations, but by filtering sequences of input instead of generating sequences. Using two-photon optogenetics, we measure neural responses to natural images and play them back, finding that responses are boosted when inputs are played back during the correct movie dynamic context-when the preceding sequence corresponds to natural vision. This sequence selectivity depends on a network mechanism: earlier input patterns produce responses in other local neurons, which interact with later input patterns. We confirm this mechanism by designing sequences of inputs that are boosted or attenuated by the network. These data suggest that recurrent cortical connections perform predictive processing, encoding the statistics of the natural world in input-output transformations.
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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.