ArticlePLoS computational biology2021
Adaptive control of movement deceleration during saccades.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- Protection of savings by reducing the salience of opposing errors.NPJ science of learning · 2025Article
- Neural basis of concurrent deliberation toward a choice and confidence judgment.bioRxiv : the preprint server for biology · 2025Article
- A software tool for at-home measurement of sensorimotor adaptation.bioRxiv : the preprint server for biology · 2023Article
- A triple distinction of cerebellar function for oculomotor learning and fatigue compensation.PLoS computational biology · 2023Article
- Adaptive changes to saccade amplitude and target localization do not require pre-saccadic target visibility.Scientific reports · 2023Article
- Interaction of dynamic error signals in saccade adaptation.Journal of neurophysiology · 2023Article
- Dual STDP processes at Purkinje cells contribute to distinct improvements in accuracy and speed of saccadic eye movements.PLoS computational biology · 2022Article
- Random Practice Enhances Retention and Spatial Transfer in Force Field Adaptation.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
As you read this text, your eyes make saccades that guide your fovea from one word to the next. Accuracy of these movements require the brain to monitor and learn from visual errors. A current model suggests that learning is supported by two different adaptive processes, one fast (high error sensitivity, low retention), and the other slow (low error sensitivity, high retention). Here, we searched for signatures of these hypothesized processes and found that following experience of a visual error, there was an adaptive change in the motor commands of the subsequent saccade. Surprisingly, this adaptation was not uniformly expressed throughout the movement. Rather, after experience of a single error, the adaptive response in the subsequent trial was limited to the deceleration period. After repeated exposure to the same error, the acceleration period commands also adapted, and exhibited resistance to forgetting during set-breaks. In contrast, the deceleration period commands adapted more rapidly, but suffered from poor retention during these same breaks. State-space models suggested that acceleration and deceleration periods were supported by a shared adaptive state which re-aimed the saccade, as well as two separate processes which resembled a two-state model: one that learned slowly and contributed primarily via acceleration period commands, and another that learned rapidly but contributed primarily via deceleration period commands.
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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.