15926235

Source:http://linkedlifedata.com/resource/pubmed/id/15926235

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0206100, umls-concept:C0231881, umls-concept:C0682647, umls-concept:C1762617
pubmed:issue	5
pubmed:dateCreated	2005-5-30
pubmed:abstractText	To study the stochastic resonance phenomenon in biological sensory systems through signal detection theories and psychophysical experiments.
pubmed:language	chi
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9425305
pubmed:citationSubset	S
pubmed:status	MEDLINE
pubmed:month	Oct
pubmed:issn	1002-0837
pubmed:author	pubmed-author:ChenYu-quanYQ, pubmed-author:GrozaL NLN, pubmed-author:LiuShi-longSL, pubmed-author:LowM BMB
pubmed:issnType	Print
pubmed:volume	17
pubmed:owner	NASA
pubmed:authorsComplete	Y
pubmed:pagination	360-4
pubmed:dateRevised	2010-3-24
pubmed:meshHeading	pubmed-meshheading:15926235-Models, Neurological, pubmed-meshheading:15926235-Neural Networks (Computer), pubmed-meshheading:15926235-Psychophysics, pubmed-meshheading:15926235-Sensory Thresholds, pubmed-meshheading:15926235-Signal Detection, Psychological, pubmed-meshheading:15926235-Stochastic Processes
pubmed:year	2004
pubmed:articleTitle	[Stochastic resonance in weak signal detection by sensory systems].
pubmed:affiliation	College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China. mailtoliujun@yahoo.com.cn
pubmed:publicationType	Journal Article, English Abstract