ArticleBrain structure & function2019
Ensemble encoding of action speed by striatal fast-spiking interneurons.
Article in Brain structure & function, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Perineuronal Net and Inhibitory Synapse Remodeling on Striatal Fast-Spiking Interneurons by Chronic Alcohol Exposure.Biological psychiatry · 2026Article
- Translatome of dorsal striatum parvalbumin interneurons revisited: insights across diverse experimental paradigms.Frontiers in cellular neuroscience · 2025Article
- ABHD6 loss-of-function in mesoaccumbens postsynaptic but not presynaptic neurons prevents diet-induced obesity in male mice.Nature communications · 2024Article
- Alcohol potentiates multiple GABAergic inputs to dorsal striatum fast-spiking interneurons.Neuropharmacology · 2023Article
- Striatal ensemble activity in an innate naturalistic behavior.bioRxiv : the preprint server for biology · 2023Article
- Cortical control of striatal fast-spiking interneuron synchrony.The Journal of physiology · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Striatal fast-spiking interneurons (FSIs) potently inhibit the output neurons of the striatum and, as such, powerfully modulate action learning. Through electrical synaptic coupling, FSIs are theorized to temporally coordinate their activity. This has important implications for their ability to temporally summate inhibition on downstream striatal projection neurons. While some in vivo single-unit electrophysiological recordings of putative FSIs support coordinated firing, others do not. Moreover, it is unclear as to what aspect of action FSIs encode. To address this, we used in vivo calcium imaging of genetically identified FSIs in freely moving mice and applied machine learning analyses to decipher the relationship between FSI activity and movement. We report that FSIs exhibit ensemble activity that encodes the speed of action sub-components, including ambulation and head movements. These results suggest FSI population dynamics fit within a Hebbian model for ensemble inhibition of striatal output guiding action.
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Registered trials
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