The order of complexity of visuomotor learning.

BMC Neurosci

Department of Physiology, University of Toronto, Toronto, ON, M5S1A8, Canada.

Published: June 2017

Background: 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.

Results: Humans learned significantly faster than optimized zeroth-order algorithms, but slower than second-order ones.

Conclusions: Human visuomotor learning is too fast to be explained by zeroth-order processes alone, and must involve first or second-order mechanisms.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469048PMC
http://dx.doi.org/10.1186/s12868-017-0368-xDOI Listing

Publication Analysis

Top Keywords

visuomotor learning
8
order complexity
4
complexity visuomotor
4
learning background
4
background learning
4
learning algorithms
4
algorithms three
4
three orders
4
orders complexity
4
complexity zeroth-order
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!