ArticleeLife2021
Learning excitatory-inhibitory neuronal assemblies in recurrent networks.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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Who cites it
33 citing papers in PubMed, 63 citations in OpenAlex.
- A unified model of short- and long-term plasticity: Effects on network connectivity and information capacity.PLoS computational biology · 2026Article
- Interpretable modality-aware mapping of gene regulation in single-cell multiomics with scMAGCA.Nature communications · 2026Article
- Long-term use of tDCS-clinical and ethical considerations.Frontiers in human neuroscience · 2026Article
- Cell-type-specific networks during hippocampal seizures at the micro- and macroscale.Brain : a journal of neurology · 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
- Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity.Nature communications · 2025Article
- Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.bioRxiv : the preprint server for biology · 2025Article
- Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences.eLife · 2025Article
- Disuse-driven plasticity in the human thalamus and putamen.Cell reports · 2025Article
- Article
- Elucidating hemodynamics and neuro-glio-vascular signaling using rodent fMRI.Trends in neurosciences · 2025Review
- Efficient coding in biophysically realistic excitatory-inhibitory spiking networks.bioRxiv : the preprint server for biology · 2025Article
- Geometry and dynamics of representations in a precisely balanced memory network related to olfactory cortex.eLife · 2025Article
- Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions.Frontiers in computational neuroscience · 2025Article
- Structural influences on synaptic plasticity: The role of presynaptic connectivity in the emergence of E/I co-tuning.PLoS computational biology · 2024Article
- Overabundant endocannabinoids in neurons are detrimental to cognitive function.bioRxiv : the preprint server for biology · 2024Article
- The mechanics of correlated variability in segregated cortical excitatory subnetworks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Synapse-type-specific competitive Hebbian learning forms functional recurrent networks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Emergence of co-tuning in inhibitory neurons as a network phenomenon mediated by randomness, correlations, and homeostatic plasticity.Science advances · 2024Article
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Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Understanding the connectivity observed in the brain and how it emerges from local plasticity rules is a grand challenge in modern neuroscience. In the primary visual cortex (V1) of mice, synapses between excitatory pyramidal neurons and inhibitory parvalbumin-expressing (PV) interneurons tend to be stronger for neurons that respond to similar stimulus features, although these neurons are not topographically arranged according to their stimulus preference. The presence of such excitatory-inhibitory (E/I) neuronal assemblies indicates a stimulus-specific form of feedback inhibition. Here, we show that activity-dependent synaptic plasticity on input and output synapses of PV interneurons generates a circuit structure that is consistent with mouse V1. Computational modeling reveals that both forms of plasticity must act in synergy to form the observed E/I assemblies. Once established, these assemblies produce a stimulus-specific competition between pyramidal neurons. Our model suggests that activity-dependent plasticity can refine inhibitory circuits to actively shape cortical computations.
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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.