NDLI: Human learning improves machine learning: neural and computational mechanisms of perceptual training.

Content Provider	Semantic Scholar
Author	Carp, Joshua Park, Joonkoo
Copyright Year	2011
Abstract	Visual perception is highly plastic; perceptual training dramatically increases sensitivity to contrast, contour, and motion. However, many questions remain about the neural mechanisms underlying such learning-related change. Previous research shows that practice can increase neural selectivity for
Starting Page	581
Ending Page	581
Page Count	1
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.jneurosci.org/content/jneuro/31/11/3937.full.pdf
PubMed reference number	21411636v1
Alternate Webpage(s)	https://doi.org/10.1523/JNEUROSCI.6644-10.2011
DOI	10.1523/jneurosci.6644-10.2011
Journal	The Journal of neuroscience : the official journal of the Society for Neuroscience
Volume Number	31
Issue Number	11
Language	English
Access Restriction	Open
Subject Keyword	Amblyopia Area striata structure Cell Respiration Classification Form Perception Learning Disorders Paper Published Comment Review [Publication Type] Temporomandibular Joint Disorders Visual evoked cortical potential observers
Content Type	Text
Resource Type	Article

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Human learning improves machine learning: neural and computational mechanisms of perceptual training.