ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2011
Spontaneous activity signatures of morphologically identified interneurons in the vestibulocerebellum.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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63 citing papers in PubMed, 119 citations in OpenAlex.
- Beyond synaptic plasticity: a summary of a linear model of the cerebellar locomotor computation.Frontiers in neural circuits · 2026Review
- Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
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- The cerebellum converts input data into a hyper low-resolution granule cell code with spatial dimensions: a hypothesis.Royal Society open science · 2025Article
- Neural circuit mechanisms to transform cerebellar population dynamics for motor control in monkeys.bioRxiv : the preprint server for biology · 2025Article
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- The cerebellar deep nuclei: a patch for rate codes?Frontiers in neural circuits · 2025Article
- Realistic mossy fiber input patterns to unipolar brush cells evoke a continuum of temporal responses comprised of components mediated by different glutamate receptors.bioRxiv : the preprint server for biology · 2024Article
- Gap Junctions May Have A Computational Function In The Cerebellum: A Hypothesis.Cerebellum (London, England) · 2024Article
- A deep-learning strategy to identify cell types across species from high-density extracellular recordings.bioRxiv : the preprint server for biology · 2024Article
- A functional account of stimulation-based aerobic glycolysis and its role in interpreting BOLD signal intensity increases in neuroimaging experiments.Neuroscience and biobehavioral reviews · 2023Review
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- Neuroanatomical tract-tracing techniques that did go viral.Brain structure & function · 2020Review
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- Consensus Paper: Experimental Neurostimulation of the Cerebellum.Cerebellum (London, England) · 2019Review
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- Leveraging heterogeneity for neural computation with fading memory in layer 2/3 cortical microcircuits.PLoS computational biology · 2019Article
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- Molecular layer interneurons shape the spike activity of cerebellar Purkinje cells.Scientific reports · 2019Article
3 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors at 2 institutions in 2 countries.
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Abstract
Cerebellar cortical interneurons such as Golgi cells, basket cells, stellate cells, unipolar brush cells, and granule cells play an essential role in the operations of the cerebellum. However, detailed functional studies of the activity of these cells in both anesthetized and behaving animals have been hampered by problems in recognizing their physiological signatures. We have extracellularly recorded the spontaneous activity of vestibulocerebellar interneurons in ketamine/xylazine-anesthetized rats and subsequently labeled them with Neurobiotin using the juxtacellular technique. After recovery and morphological identification of these cells, they were related to statistical measures of their spontaneous activity. Golgi cells display a somewhat irregular firing pattern with relatively low average frequencies. Unipolar brush cells are characterized by more regular firing at higher rates. Basket and stellate cells are alike in their firing characteristics, which mainly stand out by their irregularity; some of them are set apart by their very slow average rate. The spontaneous activity of interneurons examined in the ketamine/xylazine rabbit fit within this general pattern. In the rabbit, granule cells were identified by the spontaneous occurrence of extremely high-frequency bursts of action potentials, which were also recognized in the rat. On the basis of these observations, we devised an algorithm that reliably determined the identity of 75% of the cells with only 2% incorrect classifications. The remaining cells were placed into border categories within which no classification was attempted. We propose that this algorithm can be used to help classify vestibulocerebellar interneurons recorded in awake, behaving animals.
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