ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2021
Did We Get Sensorimotor Adaptation Wrong? Implicit Adaptation as Direct Policy Updating Rather than Forward-Model-Based Learning.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed.
- Audiomotor prediction errors drive speech adaptation even in the absence of overt movement.PLoS biology · 2026Article
- Perceptual prediction error supports implicit process in motor learning.PLoS computational biology · 2026Article
- A modular architecture for trial-by-trial learning of redundant muscle activity patterns in novel sensorimotor tasks.PLoS computational biology · 2026Article
- On the limit: Working memory capacity constrains learning of complex visuomotor mappings.bioRxiv : the preprint server for biology · 2026Article
- Disorders of the Basal Ganglia and Cerebellum: A Comprehensive Review of Speech Sensorimotor Symptoms and Responses to Feedback Perturbations.Neurobiology of language (Cambridge, Mass.) · 2026Review
- A neural implementation model of feedback-based motor learning.Nature communications · 2025Article
- Sensorimotor environment but not task rule reconfigures population dynamics in rhesus monkey posterior parietal cortex.Nature communications · 2025Article
- Sensorimotor mismatch disrupts motor automaticity and increases anxiety during a goal-directed balance task.Frontiers in human neuroscience · 2025Article
- Ants integrate proprioception as well as visual context and efference copies to make robust predictions.Nature communications · 2024Article
- Moving in an Uncertain World: Robust and Adaptive Control of Locomotion from Organisms to Machine Intelligence.Integrative and comparative biology · 2024Review
- The role of training variability for model-based and model-free learning of an arbitrary visuomotor mapping.PLoS computational biology · 2024Article
- Review
- Working memory constraints for visuomotor retrieval strategies.Journal of neurophysiology · 2024Article
- Inductive biases of neural network modularity in spatial navigation.Science advances · 2024Article
- Distinct learning, retention, and generalization patterns in de novo learning versus motor adaptation.Scientific reports · 2024Article
- Mechanisms of sensorimotor adaptation in a hierarchical state feedback control model of speech.PLoS computational biology · 2023Article
- How the conception of control influences our understanding of actions.Nature reviews. Neuroscience · 2023Review
- The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach.PLoS computational biology · 2023Article
- Article
- Explicit learning based on reward prediction error facilitates agile motor adaptations.PloS one · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human motor system can rapidly adapt its motor output in response to errors. The prevailing theory of this process posits that the motor system adapts an internal forward model that predicts the consequences of outgoing motor commands and uses this forward model to plan future movements. However, despite clear evidence that adaptive forward models exist and are used to help track the state of the body, there is no definitive evidence that such models are used in movement planning. An alternative to the forward-model-based theory of adaptation is that movements are generated based on a learned policy that is adjusted over time by movement errors directly ("direct policy learning"). This learning mechanism could act in parallel with, but independent of, any updates to a predictive forward model. Forward-model-based learning and direct policy learning generate very similar predictions about behavior in conventional adaptation paradigms. However, across three experiments with human participants (
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.