ArticleProceedings of the National Academy of Sciences of the United States of America2020
Theory of neuronal perturbome in cortical networks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 56 citations in OpenAlex.
- Article
- Input-dependent directionality of interactions between cortical areas.bioRxiv : the preprint server for biology · 2026Article
- Single-Cell Perturbations Reveal Selective Modulation of Causal Connectivity During Decision-Making.bioRxiv : the preprint server for biology · 2026Article
- Principles of cortical interactions in modular recurrent networks.bioRxiv : the preprint server for biology · 2026Article
- Article
- 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
- Spontaneous Dynamics Predict the Effects of Targeted Intervention in Hippocampal Neuronal Cultures.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
- The order of multisensory associative sequences is reinstated as context feature during successful recognition.Scientific reports · 2025Article
- Article
- Efficient coding in biophysically realistic excitatory-inhibitory spiking networks.bioRxiv : the preprint server for biology · 2025Article
- Predicting the effect of micro-stimulation on macaque prefrontal activity based on spontaneous circuit dynamics.Physical review research · 2024Article
- Functional networks of inhibitory neurons orchestrate synchrony in the hippocampus.PLoS biology · 2024Article
- Top-down modulation in canonical cortical circuits with short-term plasticity.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Microstimulation reveals anesthetic state-dependent effective connectivity of neurons in cerebral cortex.Frontiers in neuroscience · 2024Article
- The logic of recurrent circuits in the primary visual cortex.Nature neuroscience · 2024Article
- Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeys.Neuron · 2023Article
- From single-neuron dynamics to higher-order circuit motifs in control and pathological brain networks.The Journal of physiology · 2023Article
- Amplified cortical neural responses as animals learn to use novel activity patterns.Current biology : CB · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
To unravel the functional properties of the brain, we need to untangle how neurons interact with each other and coordinate in large-scale recurrent networks. One way to address this question is to measure the functional influence of individual neurons on each other by perturbing them in vivo. Application of such single-neuron perturbations in mouse visual cortex has recently revealed feature-specific suppression between excitatory neurons, despite the presence of highly specific excitatory connectivity, which was deemed to underlie feature-specific amplification. Here, we studied which connectivity profiles are consistent with these seemingly contradictory observations, by modeling the effect of single-neuron perturbations in large-scale neuronal networks. Our numerical simulations and mathematical analysis revealed that, contrary to the prima facie assumption, neither inhibition dominance nor broad inhibition alone were sufficient to explain the experimental findings; instead, strong and functionally specific excitatory-inhibitory connectivity was necessary, consistent with recent findings in the primary visual cortex of rodents. Such networks had a higher capacity to encode and decode natural images, and this was accompanied by the emergence of response gain nonlinearities at the population level. Our study provides a general computational framework to investigate how single-neuron perturbations are linked to cortical connectivity and sensory coding and paves the road to map the perturbome of neuronal networks in future studies.
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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.