ArticleNeurobiology of learning and memory2020
Bidirectional short-term plasticity during single-trial learning of cerebellar-driven eyelid movements in mice.
Article in Neurobiology of learning and memory, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- The Effect of Nucleo-Olivary Stimulation on Climbing Fiber EPSPs in Purkinje Cells.Cerebellum (London, England) · 2024Article
- The Role of Cerebellar Intrinsic Neuronal Excitability, Synaptic Plasticity, and Perineuronal Nets in Eyeblink Conditioning.Biology · 2024Review
- Autonomous Purkinje cell activation instructs bidirectional motor learning through evoked dendritic calcium signaling.Nature communications · 2021Article
- Cannabinoids modulate associative cerebellar learning via alterations in behavioral state.eLife · 2020Article
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Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
The brain is constantly monitoring its own performance, using error signals to trigger mechanisms of plasticity that help improve future behavior. Indeed, adaptive changes in behavior have been observed after a single error trial in many learning tasks, including cerebellum-dependent eyeblink conditioning. Here, we demonstrate that the plasticity underlying single-trial learning during eyeblink conditioning in mice is bidirectionally regulated by positive and negative prediction errors, has an ephemeral effect on behavior (decays in <1 min), and can be triggered in the absence of errors in performance. We suggest that these three properties of single-trial learning may be particularly useful for driving mechanisms of motor adaptation that can achieve optimal performance in the face of environmental disturbances with a fast timescale.
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Registered trials
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.