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An Eye in the Palm of Your Hand: Alterations in Visual Processing Near the Hand, a Mini-Review

Overview of attention for article published in Frontiers in Computational Neuroscience, April 2016
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Title
An Eye in the Palm of Your Hand: Alterations in Visual Processing Near the Hand, a Mini-Review
Published in
Frontiers in Computational Neuroscience, April 2016
DOI 10.3389/fncom.2016.00037
Pubmed ID
Authors

Carolyn J. Perry, Prakash Amarasooriya, Mazyar Fallah

Abstract

Feedback within the oculomotor system improves visual processing at eye movement end points, also termed a visual grasp. We do not just view the world around us however, we also reach out and grab things with our hands. A growing body of literature suggests that visual processing in near-hand space is altered. The control systems for moving either the eyes or the hands rely on parallel networks of fronto-parietal regions, which have feedback connections to visual areas. Since the oculomotor system effects on visual processing occur through feedback, both through the motor plan and the motor efference copy, a parallel system where reaching and/or grasping motor-related activity also affects visual processing is likely. Areas in the posterior parietal cortex, for example, receive proprioceptive and visual information used to guide actions, as well as motor efference signals. This trio of information channels is all that would be necessary to produce spatial allocation of reach-related visual attention. We review evidence from behavioral and neurophysiological studies that support the hypothesis that feedback from the reaching and/or grasping motor control networks affects visual processing while noting ways in which it differs from that seen within the oculomotor system. We also suggest that object affordances may represent the neural mechanism through which certain object features are selected for preferential processing when stimuli are near the hand. Finally, we summarize the two effector-based feedback systems and discuss how having separate but parallel effector systems allows for efficient decoupling of eye and hand movements.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 14%
Student > Ph. D. Student 7 12%
Student > Bachelor 7 12%
Student > Master 6 10%
Professor 5 9%
Other 13 22%
Unknown 12 21%
Readers by discipline Count As %
Psychology 19 33%
Neuroscience 11 19%
Medicine and Dentistry 5 9%
Computer Science 4 7%
Agricultural and Biological Sciences 2 3%
Other 2 3%
Unknown 15 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 July 2016.
All research outputs
#13,975,135
of 22,862,742 outputs
Outputs from Frontiers in Computational Neuroscience
#629
of 1,345 outputs
Outputs of similar age
#154,480
of 299,111 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#14
of 33 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,345 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 49th percentile – i.e., 49% 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 299,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.