ArticleNeuron2016
The Impact of Structural Heterogeneity on Excitation-Inhibition Balance in Cortical Networks.
Article in Neuron, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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Who cites it
61 citing papers in PubMed.
- An in silico framework for dissecting the mechanistic origins of in vivo recorded neuronal activity.PLoS computational biology · 2026Article
- Controlling Spatio-Temporal Sequences of Neural Activity by Local Synaptic Changes.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- A theory for self-sustained balanced states in absence of strong external currents.PLoS computational biology · 2026Article
- Psychedelic Modulation of Excitation/Inhibition Balance: A Dual-Phase Neurodevelopmental Model.ACS chemical neuroscience · 2026Review
- Analyzing the brain's dynamic response to targeted stimulation using generative modeling.Network neuroscience (Cambridge, Mass.) · 2025Review
- Sparse connectivity enables efficient information processing in cortex-like artificial neural networks.Frontiers in neural circuits · 2025Article
- Modulating excitation/inhibition balance through transcranial electrical stimulation: physiological mechanisms in animal models.Frontiers in neuroscience · 2025Review
- Sub-threshold neuronal activity and the dynamical regime of cerebral cortex.Nature communications · 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
- Network-neuron interactions underlying sensory responses of layer 5 pyramidal tract neurons in barrel cortex.PLoS computational biology · 2024Article
- Article
- On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networks.Journal of computational neuroscience · 2024Article
- Multi-modal and multi-model interrogation of large-scale functional brain networks.NeuroImage · 2023Article
- Logarithmically scaled, gamma distributed neuronal spiking.The Journal of physiology · 2023Review
- Circuit-selective cell-autonomous regulation of inhibition in pyramidal neurons by Ste20-like kinase.Cell reports · 2022Article
- Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring.Neural computation · 2022Article
- Cortical Representation of Touch in Silico.Neuroinformatics · 2022Article
- A circuit mechanism for independent modulation of excitatory and inhibitory firing rates after sensory deprivation.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- The impact of neuron morphology on cortical network architecture.Cell reports · 2022Article
- Chaotic and stochastic dynamics of epileptiform-like activities in sclerotic hippocampus resected from patients with pharmacoresistant epilepsy.PLoS computational biology · 2022Article
1 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
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Abstract
Models of cortical dynamics often assume a homogeneous connectivity structure. However, we show that heterogeneous input connectivity can prevent the dynamic balance between excitation and inhibition, a hallmark of cortical dynamics, and yield unrealistically sparse and temporally regular firing. Anatomically based estimates of the connectivity of layer 4 (L4) rat barrel cortex and numerical simulations of this circuit indicate that the local network possesses substantial heterogeneity in input connectivity, sufficient to disrupt excitation-inhibition balance. We show that homeostatic plasticity in inhibitory synapses can align the functional connectivity to compensate for structural heterogeneity. Alternatively, spike-frequency adaptation can give rise to a novel state in which local firing rates adjust dynamically so that adaptation currents and synaptic inputs are balanced. This theory is supported by simulations of L4 barrel cortex during spontaneous and stimulus-evoked conditions. Our study shows how synaptic and cellular mechanisms yield fluctuation-driven dynamics despite structural heterogeneity in cortical circuits.
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