ArticleScience advances2025
State modulation in spatial networks with three interneuron subtypes.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A mean-field model of neural networks with PV and SOM interneurons reveals connectivity-based mechanisms of gamma oscillations.PLoS computational biology · 2026Article
- Multi-stable oscillations in cortical networks with two classes of inhibition.PLoS computational biology · 2026Article
- Cortical Somatostatin Neurons Regulate Seizure Susceptibility via MINAR1/Gαs-cAMP Signaling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Untangling stability and gain modulation in cortical circuits with multiple interneuron classes.eLife · 2025Article
- Parvalbumin interneurons: the dark and bright sides of a key playmaker of neural circuits and behavior.Frontiers in cellular neuroscience · 2025Review
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Abstract
Several inhibitory interneuron subtypes have been identified as critical in regulating sensory responses. However, the specific contribution of each interneuron subtype remains uncertain. In this work, we explore the contributions of cell type-specific activity and synaptic connections to the dynamics of a spatially organized spiking neuron network. We find that the firing rates of the somatostatin (SOM) interneurons align closely with the level of network synchrony irrespective of the target of modulatory input. Further analysis reveals that inhibition from SOM to parvalbumin interneurons must be limited to allow gradual transitions from asynchrony to synchrony and that the strength of recurrent excitation onto SOM neurons determines the level of synchrony achievable in the network. Our results are consistent with recent experimental findings on cell type-specific manipulations. Overall, our results highlight common dynamic regimes achieved across modulations of different cell populations and identify SOM cells as the main driver of network synchrony.
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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.