Matches in DBpedia 2016-04 for { <http://wikidata.dbpedia.org/resource/Q7309697> ?p ?o }
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- Q7309697 subject Q5881968.
- Q7309697 subject Q8921727.
- Q7309697 abstract "Regulatory Feedback Networks describe a class of neural networks related to Virtual Lateral Inhibition (named to distinguish it from lateral inhibition) that perform inference using [[negative feedback]]. The feedback is implemented during recognition and during recognition connectivity parameters are not changed. Thus this is completely separate from learning/training (e.g. [[supervised learning]] or unsupervised learning). This is also different from models of spatial attention. Instead, these networks determine the relevance of inputs through a "conservation of information principle".".
- Q7309697 wikiPageExternalLink Visual_salience.
- Q7309697 wikiPageWikiLink Q1141237.
- Q7309697 wikiPageWikiLink Q1152135.
- Q7309697 wikiPageWikiLink Q1430460.
- Q7309697 wikiPageWikiLink Q162668.
- Q7309697 wikiPageWikiLink Q224821.
- Q7309697 wikiPageWikiLink Q4818232.
- Q7309697 wikiPageWikiLink Q5141226.
- Q7309697 wikiPageWikiLink Q5881968.
- Q7309697 wikiPageWikiLink Q6884747.
- Q7309697 wikiPageWikiLink Q8037925.
- Q7309697 wikiPageWikiLink Q863678.
- Q7309697 wikiPageWikiLink Q8921727.
- Q7309697 wikiPageWikiLink Q978465.
- Q7309697 comment "Regulatory Feedback Networks describe a class of neural networks related to Virtual Lateral Inhibition (named to distinguish it from lateral inhibition) that perform inference using [[negative feedback]]. The feedback is implemented during recognition and during recognition connectivity parameters are not changed. Thus this is completely separate from learning/training (e.g. [[supervised learning]] or unsupervised learning). This is also different from models of spatial attention.".
- Q7309697 label "Regulatory feedback network".