ReviewTrends in neurosciences2021
A Network Perspective on Sensorimotor Learning.
Review in Trends in neurosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Hierarchical structural-functional coupling reorganization after acute sleep deprivation: Links to spatial working memory and lateralization.Cognitive, affective & behavioral neuroscience · 2026Article
- Stable readout of visual representations mediates flexible generalization.Nature communications · 2026Article
- Sensorimotor Transformations for Postural Control in the Vermis of the Cerebellum.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- A neural implementation model of feedback-based motor learning.Nature communications · 2025Article
- Dynamic tracking of objects in the macaque dorsomedial frontal cortex.Nature communications · 2025Article
- Free Will as Defined by the Constrained Disorder Principle: a Restricted, Mandatory, Personalized, Regulated Process for Decision-Making.Integrative psychological & behavioral science · 2024Review
- When and why does motor preparation arise in recurrent neural network models of motor control?eLife · 2024Article
- Vagus nerve stimulation during training fails to improve learning in healthy rats.Scientific reports · 2024Article
- Coordinated Response Modulations Enable Flexible Use of Visual Information.bioRxiv : the preprint server for biology · 2024Article
- De novo motor learning creates structure in neural activity that shapes adaptation.Nature communications · 2024Article
- Cerebellar Purkinje cells in male macaques combine sensory and motor information to predict the sensory consequences of active self-motion.Nature communications · 2024Article
- Neurons in the monkey frontopolar cortex encode learning stage and goal during a fast learning task.PLoS biology · 2024Article
- Controlling target brain regions by optimal selection of input nodes.PLoS computational biology · 2024Article
- Internal models of self-motion: neural computations by the vestibular cerebellum.Trends in neurosciences · 2023Review
- Article
- The impact of aging on human brain network target controllability.Brain structure & function · 2022Article
- Small, correlated changes in synaptic connectivity may facilitate rapid motor learning.Nature communications · 2022Article
- Article
- Understanding implicit and explicit sensorimotor learning through neural dynamics.Frontiers in computational neuroscience · 2022Article
- Personality and brain contribute to academic achievements of medical students.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
What happens in the brain when we learn? Ever since the foundational work of Cajal, the field has made numerous discoveries as to how experience could change the structure and function of individual synapses. However, more recent advances have highlighted the need for understanding learning in terms of complex interactions between populations of neurons and synapses. How should one think about learning at such a macroscopic level? Here, we develop a conceptual framework to bridge the gap between the different scales at which learning operates, from synapses to neurons to behavior. Using this framework, we explore the principles that guide sensorimotor learning across these scales, and set the stage for future experimental and theoretical work in the field.
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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.