ArticleNeuron2015
The stabilized supralinear network: a unifying circuit motif underlying multi-input integration in sensory cortex.
Article in Neuron, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers.
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Who cites it
195 citing papers in PubMed.
- Symmetries and continuous attractors in disordered neural circuits.Nature neuroscience · 2026Article
- Convergent multidimensional neural phenotypes in human patients and schizophrenia-relevant mouse models identify reduced recurrent excitation in cortical circuits.medRxiv : the preprint server for health sciences · 2026Article
- Deviance detection via competitive inhibition between local neocortical ensembles.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Locally balanced inhibition allows for robust learning of input-output associations in feedforward networks with Hebbian plasticity.Journal of computational neuroscience · 2026Article
- Inhibitory-stabilization is sufficient for history-dependent computation in a randomly connected attractor network.Journal of computational neuroscience · 2026Article
- Context-dependent effects of SOM neurons to enhance the responses of corticocollicular neurons to repetitive sounds.iScience · 2026Article
- Feature-tuned synaptic inputs to somatostatin interneurons drive context-dependent processing.Neuron · 2026Article
- Data-derived agents reveal dynamical reservoirs in mouse cortex for adaptive behavior.bioRxiv : the preprint server for biology · 2026Article
- Computing the effects of excitatory-inhibitory balance on neuronal input-output properties.PLoS computational biology · 2026Article
- Size tuning of neural response variability in laminar circuits of macaque primary visual cortex.eLife · 2026Article
- Voltage imaging as a window into neural computation.Neurophotonics · 2026Article
- Principles of cortical interactions in modular recurrent networks.bioRxiv : the preprint server for biology · 2026Article
- Neuronal heterogeneity of normalization strength in a circuit model.Science advances · 2026Article
- Inhibitory-stabilization is sufficient for history-dependent computation in a randomly connected attractor network.bioRxiv : the preprint server for biology · 2025Article
- Premature vision drives aberrant development of response properties in primary visual cortex.eLife · 2025Article
- Subthreshold moment analysis of neuronal populations driven by synchronous synaptic inputs.PLoS computational biology · 2025Article
- Manifold transform by recurrent cortical circuit enhances robust encoding of familiar stimuli.PLoS computational biology · 2025Article
- Recurrent circuits encode de novo visual center-surround computations in the mouse superior colliculus.PLoS biology · 2025Article
- Global and local origins of trial-to-trial spike count variability in visual cortex.bioRxiv : the preprint server for biology · 2025Article
- 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
135 more citing papers are in PubMed but not listed here.
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3 authors.
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Abstract
Neurons in sensory cortex integrate multiple influences to parse objects and support perception. Across multiple cortical areas, integration is characterized by two neuronal response properties: (1) surround suppression--modulatory contextual stimuli suppress responses to driving stimuli; and (2) "normalization"--responses to multiple driving stimuli add sublinearly. These depend on input strength: for weak driving stimuli, contextual influences facilitate or more weakly suppress and summation becomes linear or supralinear. Understanding the circuit operations underlying integration is critical to understanding cortical function and disease. We present a simple, general theory. A wealth of integrative properties, including the above, emerge robustly from four cortical circuit properties: (1) supralinear neuronal input/output functions; (2) sufficiently strong recurrent excitation; (3) feedback inhibition; and (4) simple spatial properties of intracortical connections. Integrative properties emerge dynamically as circuit properties, with excitatory and inhibitory neurons showing similar behaviors. In new recordings in visual cortex, we confirm key model predictions.
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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.