Evidence map›Paper›PMID 27313528›Full record

ArticleFrontiers in computational neuroscience2016

Neural Network Evidence for the Coupling of Presaccadic Visual Remapping to Predictive Eye Position Updating.

Hrishikesh M Rao, Juan San Juan, Fred Y Shen, Jennifer E Villa, Kimia S Rafie, Marc A Sommer

Abstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Visual Remapping.Annual review of vision science · 2021
    Review
  2. Circuits for presaccadic visual remapping.Journal of neurophysiology · 2016
    Review
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

6 authors.

Hrishikesh M RaoDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University Durham, NC, USA.
Juan San JuanDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University Durham, NC, USA.
Fred Y ShenDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University Durham, NC, USA.
Jennifer E VillaDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University Durham, NC, USA.
Kimia S RafieDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University Durham, NC, USA.
Marc A SommerDepartment of Biomedical Engineering, Pratt School of Engineering, Duke UniversityDurham, NC, USA; Department of Neurobiology, Duke School of Medicine, Duke UniversityDurham, NC, USA; Center for Cognitive Neuroscience, Duke UniversityDurham, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As we look around a scene, we perceive it as continuous and stable even though each saccadic eye movement changes the visual input to the retinas. How the brain achieves this perceptual stabilization is unknown, but a major hypothesis is that it relies on presaccadic remapping, a process in which neurons shift their visual sensitivity to a new location in the scene just before each saccade. This hypothesis is difficult to test in vivo because complete, selective inactivation of remapping is currently intractable. We tested it in silico with a hierarchical, sheet-based neural network model of the visual and oculomotor system. The model generated saccadic commands to move a video camera abruptly. Visual input from the camera and internal copies of the saccadic movement commands, or corollary discharge, converged at a map-level simulation of the frontal eye field (FEF), a primate brain area known to receive such inputs. FEF output was combined with eye position signals to yield a suitable coordinate frame for guiding arm movements of a robot. Our operational definition of perceptual stability was "useful stability," quantified as continuously accurate pointing to a visual object despite camera saccades. During training, the emergence of useful stability was correlated tightly with the emergence of presaccadic remapping in the FEF. Remapping depended on corollary discharge but its timing was synchronized to the updating of eye position. When coupled to predictive eye position signals, remapping served to stabilize the target representation for continuously accurate pointing. Graded inactivations of pathways in the model replicated, and helped to interpret, previous in vivo experiments. The results support the hypothesis that visual stability requires presaccadic remapping, provide explanations for the function and timing of remapping, and offer testable hypotheses for in vivo studies. We conclude that remapping allows for seamless coordinate frame transformations and quick actions despite visual afferent lags. With visual remapping in place for behavior, it may be exploited for perceptual continuity.

Indexed as

eye movementsrecurrent networkssaccadesTopographicavisual stability

Identifiers

PMID27313528
PMCPMC4889583

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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.