ArticleeLife2017
Learning multiple variable-speed sequences in striatum via cortical tutoring.
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
49 citing papers in PubMed.
- Controlling Spatio-Temporal Sequences of Neural Activity by Local Synaptic Changes.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence.bioRxiv : the preprint server for biology · 2026Article
- Coordinated spinal locomotor network dynamics emerge from cell-type-specific connectivity patterns.eLife · 2025Article
- Competition and cooperation of assembly sequences in recurrent neural networks.PLoS computational biology · 2025Article
- Coordinated spinal locomotor network dynamics emerge from cell-type-specific connectivity patterns.bioRxiv : the preprint server for biology · 2025Article
- Discovering plasticity rules that organize and maintain neural circuits.bioRxiv : the preprint server for biology · 2024Article
- Dynamic control of sequential retrieval speed in networks with heterogeneous learning rules.eLife · 2024Article
- Recall tempo of Hebbian sequences depends on the interplay of Hebbian kernel with tutor signal timing.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- Unsupervised restoration of a complex learned behavior after large-scale neuronal perturbation.Nature neuroscience · 2024Article
- Unified control of temporal and spatial scales of sensorimotor behavior through neuromodulation of short-term synaptic plasticity.Science advances · 2024Article
- Neural Sequences and the Encoding of Time.Advances in experimental medicine and biology · 2024Review
- Using temperature to analyze the neural basis of a time-based decision.Nature neuroscience · 2023Article
- Multiplexing working memory and time in the trajectories of neural networks.Nature human behaviour · 2023Article
- Toward reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning.Frontiers in integrative neuroscience · 2023Article
- Learning-induced changes in the neural circuits underlying motor sequence execution.Current opinion in neurobiology · 2022Review
- Review
- Encoding time in neural dynamic regimes with distinct computational tradeoffs.PLoS computational biology · 2022Article
- Secondary auditory cortex mediates a sensorimotor mechanism for action timing.Nature neuroscience · 2022Article
- Distinct roles for motor cortical and thalamic inputs to striatum during motor skill learning and execution.Science advances · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Sparse, sequential patterns of neural activity have been observed in numerous brain areas during timekeeping and motor sequence tasks. Inspired by such observations, we construct a model of the striatum, an all-inhibitory circuit where sequential activity patterns are prominent, addressing the following key challenges: (i) obtaining control over temporal rescaling of the sequence speed, with the ability to generalize to new speeds; (ii) facilitating flexible expression of distinct sequences via selective activation, concatenation, and recycling of specific subsequences; and (iii) enabling the biologically plausible learning of sequences, consistent with the decoupling of learning and execution suggested by lesion studies showing that cortical circuits are necessary for learning, but that subcortical circuits are sufficient to drive learned behaviors. The same mechanisms that we describe can also be applied to circuits with both excitatory and inhibitory populations, and hence may underlie general features of sequential neural activity pattern generation in the brain.
Indexed as
Identifiers
What OpenQuestion holds
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.