ArticleProceedings of the National Academy of Sciences of the United States of America2021
Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Article
- A computational model of altered neuronal activity in altered gravity.NPJ microgravity · 2026Article
- Modelling synaptic dysfunction in childhood dementia using human iPSC-derived cortical networks.Nature communications · 2026Article
- Electrical Microenvironment Reconstruction and the Application of Biomaterials in Spinal Cord Injury.Journal of functional biomaterials · 2026Review
- Regional correlates of tau pathology and synaptic function in primary age-related tauopathy.Journal of Alzheimer's disease : JAD · 2026Article
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Psychedelic Modulation of Excitation/Inhibition Balance: A Dual-Phase Neurodevelopmental Model.ACS chemical neuroscience · 2026Review
- Focal cortical dysplasias: modeling pediatric drug-resistant epilepsy using human brain organoids.Frontiers in cellular neuroscience · 2026Review
- Age-dependent alterations in anterior cingulate excitation-inhibition balance in major depressive disorder revealed by 7-Tesla magnetic resonance spectroscopy.NeuroImage. Clinical · 2026Article
- Chronic GIRK2 disruption in the weaver mouse selectively alters hippocampal excitability without affecting sharp wave-ripple dynamics.AIMS neuroscience · 2026Article
- Noninvasive profiling of input-output excitability curves in human prefrontal cortex.bioRxiv : the preprint server for biology · 2025Article
- The development of aperiodic neural activity in the human brain.Nature human behaviour · 2025Article
- Spatiotemporal Characterization of the Functional MRI Latency Structure with Respect to Neural Signaling and Brain Hierarchy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- A proper excitatory/inhibitory ratio is required to develop synchronized network activity in mouse cortical cultures.Stem cell reports · 2025Article
- Adaptive proximity to criticality underlies amplification of ultra-slow fluctuations during free recall.PLoS computational biology · 2025Article
- Adult-Onset Deletion of CDKL5 in Forebrain Glutamatergic Neurons Impairs Synaptic Integrity and Behavior in Mice.International journal of molecular sciences · 2025Article
- Compensatory Regulation of Excitation/Inhibition Balance in the Ventral Hippocampus: Insights from Fragile X Syndrome.Biology · 2025Review
- Article
- Efficient coding in biophysically realistic excitatory-inhibitory spiking networks.bioRxiv : the preprint server for biology · 2025Article
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
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6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The interplay between excitation and inhibition is crucial for neuronal circuitry in the brain. Inhibitory cell fractions in the neocortex and hippocampus are typically maintained at 15 to 30%, which is assumed to be important for stable dynamics. We have studied systematically the role of precisely controlled excitatory/inhibitory (E/I) cellular ratios on network activity using mice hippocampal cultures. Surprisingly, networks with varying E/I ratios maintain stable bursting dynamics. Interburst intervals remain constant for most ratios, except in the extremes of 0 to 10% and 90 to 100% inhibitory cells. Single-cell recordings and modeling suggest that networks adapt to chronic alterations of E/I compositions by balancing E/I connectivity. Gradual blockade of inhibition substantiates the agreement between the model and experiment and defines its limits. Combining measurements of population and single-cell activity with theoretical modeling, we provide a clearer picture of how E/I balance is preserved and where it fails in living neuronal networks.
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