ArticleHippocampus2022
Interneuron diversity in the rat dentate gyrus: An unbiased in vitro classification.
Article in Hippocampus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Sparsification and decorrelation of granule cell activity in the dentate gyrus by noradrenaline.Communications biology · 2026Article
- A novel and evolutionarily conserved inhibitory circuit selectively regulates dentate gyrus mossy cell function.Research square · 2025Article
- A novel, evolutionarily conserved inhibitory circuit selectively regulates dentate gyrus mossy cell function.bioRxiv : the preprint server for biology · 2025Article
- GABAFrontiers in synaptic neuroscience · 2025Article
- Article
- Degeneracy in epilepsy: multiple routes to hyperexcitable brain circuits and their repair.Communications biology · 2023Review
- Interneuronal network model of theta-nested fast oscillations predicts differential effects of heterogeneity, gap junctions and short term depression for hyperpolarizing versus shunting inhibition.PLoS computational biology · 2022Article
- Interneuron diversity in the rat dentate gyrus: An unbiased in vitro classification.Hippocampus · 2022Article
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4 authors.
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Abstract
Information processing in cortical circuits, including the hippocampus, relies on the dynamic control of neuronal activity by GABAergic interneurons (INs). INs form a heterogenous population with defined types displaying distinct morphological, molecular, and physiological characteristics. In the major input region of the hippocampus, the dentate gyrus (DG), a number of IN types have been described which provide synaptic inhibition to distinct compartments of excitatory principal cells (PrCs) and other INs. In this study, we perform an unbiased classification of GABAergic INs in the DG by combining in vitro whole-cell patch-clamp recordings, intracellular labeling, morphological analysis, and unsupervised cluster analysis to better define IN type diversity in this region. This analysis reveals that DG INs divide into at least 13 distinct morpho-physiological types which reflect the complexity of the local IN network and serve as a basis for further network analyses.
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