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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The order of complexity of visuomotor learning
|
|---|---|
| Published in |
BMC Neuroscience, June 2017
|
| DOI | 10.1186/s12868-017-0368-x |
| Pubmed ID | |
| Authors |
John Kim, Fariya Mostafa, Douglas Blair Tweed |
| Abstract |
Learning algorithms come in three orders of complexity: zeroth-order (perturbation), first-order (gradient descent), and second-order (e.g., quasi-Newton). But which of these are used in the brain? We trained 12 people to shoot targets, and compared them to simulated subjects that learned the same task using various algorithms. Humans learned significantly faster than optimized zeroth-order algorithms, but slower than second-order ones. Human visuomotor learning is too fast to be explained by zeroth-order processes alone, and must involve first or second-order mechanisms. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 38% |
| Researcher | 2 | 25% |
| Student > Ph. D. Student | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 38% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Neuroscience | 1 | 13% |
| Nursing and Health Professions | 1 | 13% |
| Unknown | 2 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 2017.
All research outputs
#15,464,404
of 22,979,862 outputs
Outputs from BMC Neuroscience
#709
of 1,250 outputs
Outputs of similar age
#199,254
of 317,409 outputs
Outputs of similar age from BMC Neuroscience
#10
of 15 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,250 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 34th percentile – i.e., 34% 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 317,409 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.