Evidence map›Paper›PMID 23223286›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2012

The interaction of bayesian priors and sensory data and its neural circuit implementation in visually guided movement.

Jin Yang, Joonyeol Lee, Stephen G Lisberger

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Amplitude and frequency prediction in the translational vestibulo-ocular reflex.Journal of vestibular research : equilibrium & orientation · 2014
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  12. The Neural Basis for Response Latency in a Sensory-Motor Behavior.Cerebral cortex (New York, N.Y. : 1991) · 2020
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  16. Encoding of Reward and Decoding Movement from the Frontal Eye Field during Smooth Pursuit Eye Movements.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
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  19. Spatiotemporal Filter for Visual Motion Integration from Pursuit Eye Movements in Humans and Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jin YangHoward Hughes Medical Institute, W.M. Keck Foundation Center for Integrative Neuroscience, Sloan-Swartz Foundation, University of California, San Francisco, San Francisco, California 94143, USA.
Joonyeol Lee
Stephen G Lisberger

Funding

NEURAL CONTROL OF EYE MOVEMENTR01EY003878 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LISBERGER, STEPHEN G · 1985 to 2013
$2.5M
NEURAL CONTROL OF EYE MOVEMENTR37EY003878 · NEI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI LISBERGER, STEPHEN G · 1989 to 1998
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Howard Hughes Medical InstituteNEI NIH HHS EY03878NEI NIH HHS R01 EY003878
6 · The paper itself

Abstract

Sensory-motor behavior results from a complex interaction of noisy sensory data with priors based on recent experience. By varying the stimulus form and contrast for the initiation of smooth pursuit eye movements in monkeys, we show that visual motion inputs compete with two independent priors: one prior biases eye speed toward zero; the other prior attracts eye direction according to the past several days' history of target directions. The priors bias the speed and direction of the initiation of pursuit for the weak sensory data provided by the motion of a low-contrast sine wave grating. However, the priors have relatively little effect on pursuit speed and direction when the visual stimulus arises from the coherent motion of a high-contrast patch of dots. For any given stimulus form, the mean and variance of eye speed covary in the initiation of pursuit, as expected for signal-dependent noise. This relationship suggests that pursuit implements a trade-off between movement accuracy and variation, reducing both when the sensory signals are noisy. The tradeoff is implemented as a competition of sensory data and priors that follows the rules of Bayesian estimation. Computer simulations show that the priors can be understood as direction-specific control of the strength of visual-motor transmission, and can be implemented in a neural-network model that makes testable predictions about the population response in the smooth eye movement region of the frontal eye fields.

Indexed as

Bayes TheoremNeural Networks, ComputerAnimalsMacaca mulattaMaleMotion PerceptionPhotic StimulationPursuit, SmoothVisual Perception

Identifiers

PMID23223286
PMCPMC3527106

What OpenQuestion holds

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Registered trials

None linked

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.