↓ Skip to main content

Revealing non-analytic kinematic shifts in smooth goal-directed behaviour

Overview of attention for article published in Biological Cybernetics, August 2011
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user
googleplus
1 Google+ user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
17 Mendeley
citeulike
1 CiteULike
Title
Revealing non-analytic kinematic shifts in smooth goal-directed behaviour
Published in
Biological Cybernetics, August 2011
DOI 10.1007/s00422-011-0449-3
Pubmed ID
Authors

M. K. Weir, A. P. Wale

Abstract

How do biological agents plan and organise a smooth accurate path to shift from one smooth mode of behaviour to another as part of graceful movement that is both plastic and controlled? This paper addresses the question in conducting a novel shape analysis of approach and adjustment phases in rapid voluntary target aiming and 2-D reaching hand actions. A number of mode changing experiments are reported that investigate these actions under a range of goals and conditions. After a typically roughly aimed approach, regular projective adjustment is observed that has height and velocity kinematic profiles that are scaled copies of one another. This empirical property is encapsulated as a novel self-similar shift function. The mathematics shows that the biological shifts consist of continual deviation from their full Taylor series everywhere throughout their interval, which is a deep form of plasticity not described before. The experimental results find the same approach and adjustment strategy to occur with behavioural trajectories over the full and varied range of tested goals and conditions. The trajectory shapes have a large degree of predictability through using the shift function to handle extensive variation in the trajectories' adjustment across individual behaviours and subjects. We provide connections between the behavioural features and results and various neural studies to show how the methodology may be exploited. The conclusion is that a roughly aimed approach followed by a specific highly plastic shift adjustment can provide a regular basis for fast and accurate goal-directed motion in a simple and generalisable way.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 12%
India 1 6%
Unknown 14 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Researcher 3 18%
Student > Bachelor 2 12%
Student > Master 2 12%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 3 18%
Readers by discipline Count As %
Engineering 3 18%
Computer Science 3 18%
Agricultural and Biological Sciences 2 12%
Nursing and Health Professions 1 6%
Mathematics 1 6%
Other 4 24%
Unknown 3 18%
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 16 December 2011.
All research outputs
#13,355,173
of 22,653,392 outputs
Outputs from Biological Cybernetics
#462
of 672 outputs
Outputs of similar age
#77,396
of 119,617 outputs
Outputs of similar age from Biological Cybernetics
#2
of 3 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 672 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 30th percentile – i.e., 30% 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 119,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.