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Switching in Feedforward Control of Grip Force During Tool-Mediated Interaction With Elastic Force Fields

Overview of attention for article published in Frontiers in Neurorobotics, June 2018
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Switching in Feedforward Control of Grip Force During Tool-Mediated Interaction With Elastic Force Fields
Published in
Frontiers in Neurorobotics, June 2018
DOI 10.3389/fnbot.2018.00031
Pubmed ID
Authors

Olivier White, Amir Karniel, Charalambos Papaxanthis, Marie Barbiero, Ilana Nisky

Abstract

Switched systems are common in artificial control systems. Here, we suggest that the brain adopts a switched feedforward control of grip forces during manipulation of objects. We measured how participants modulated grip force when interacting with soft and rigid virtual objects when stiffness varied continuously between trials. We identified a sudden phase transition between two forms of feedforward control that differed in the timing of the synchronization between the anticipated load force and the applied grip force. The switch occurred several trials after a threshold stiffness level in the range 100-200 N/m. These results suggest that in the control of grip force, the brain acts as a switching control system. This opens new research questions as to the nature of the discrete state variables that drive the switching.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Master 3 21%
Student > Bachelor 2 14%
Student > Doctoral Student 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 3 21%
Readers by discipline Count As %
Engineering 6 43%
Agricultural and Biological Sciences 2 14%
Neuroscience 2 14%
Nursing and Health Professions 1 7%
Unknown 3 21%
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 14 June 2018.
All research outputs
#13,264,943
of 23,088,369 outputs
Outputs from Frontiers in Neurorobotics
#239
of 886 outputs
Outputs of similar age
#162,500
of 329,367 outputs
Outputs of similar age from Frontiers in Neurorobotics
#8
of 23 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 886 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 329,367 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.