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The Dorsal Visual System Predicts Future and Remembers Past Eye Position

Overview of attention for article published in Frontiers in Systems Neuroscience, February 2016
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
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Title
The Dorsal Visual System Predicts Future and Remembers Past Eye Position
Published in
Frontiers in Systems Neuroscience, February 2016
DOI 10.3389/fnsys.2016.00009
Pubmed ID
Authors

Adam P. Morris, Frank Bremmer, Bart Krekelberg

Abstract

Eye movements are essential to primate vision but introduce potentially disruptive displacements of the retinal image. To maintain stable vision, the brain is thought to rely on neurons that carry both visual signals and information about the current direction of gaze in their firing rates. We have shown previously that these neurons provide an accurate representation of eye position during fixation, but whether they are updated fast enough during saccadic eye movements to support real-time vision remains controversial. Here we show that not only do these neurons carry a fast and accurate eye-position signal, but also that they support in parallel a range of time-lagged variants, including predictive and post dictive signals. We recorded extracellular activity in four areas of the macaque dorsal visual cortex during a saccade task, including the lateral and ventral intraparietal areas (LIP, VIP), and the middle temporal (MT) and medial superior temporal (MST) areas. As reported previously, neurons showed tonic eye-position-related activity during fixation. In addition, they showed a variety of transient changes in activity around the time of saccades, including relative suppression, enhancement, and pre-saccadic bursts for one saccade direction over another. We show that a hypothetical neuron that pools this rich population activity through a weighted sum can produce an output that mimics the true spatiotemporal dynamics of the eye. Further, with different pooling weights, this downstream eye position signal (EPS) could be updated long before (<100 ms) or after (<200 ms) an eye movement. The results suggest a flexible coding scheme in which downstream computations have access to past, current, and future eye positions simultaneously, providing a basis for visual stability and delay-free visually-guided behavior.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
France 2 3%
United Kingdom 1 2%
United States 1 2%
Unknown 55 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 21%
Student > Ph. D. Student 10 16%
Student > Bachelor 9 15%
Professor 7 11%
Student > Master 6 10%
Other 10 16%
Unknown 6 10%
Readers by discipline Count As %
Neuroscience 28 46%
Psychology 8 13%
Agricultural and Biological Sciences 7 11%
Computer Science 3 5%
Medicine and Dentistry 2 3%
Other 4 7%
Unknown 9 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 February 2016.
All research outputs
#13,829,977
of 23,835,032 outputs
Outputs from Frontiers in Systems Neuroscience
#737
of 1,379 outputs
Outputs of similar age
#142,162
of 301,101 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#20
of 38 outputs
Altmetric has tracked 23,835,032 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 301,101 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.