@Article{Palmeri2004,
  author   = {Thomas J Palmeri and Alan C-N Wong and Isabel Gauthier},
  journal  = {Trends Cogn Sci},
  title    = {Computational approaches to the development of perceptual expertise.},
  year     = {2004},
  number   = {8},
  pages    = {378-86},
  volume   = {8},
  abstract = {Dog experts, ornithologists, radiologists and other specialists are
	noted for their remarkable abilities at categorizing, identifying
	and recognizing objects within their domain of expertise. A complete
	understanding of the development of perceptual expertise requires
	a combination of thorough empirical research and carefully articulated
	computational theories that formalize specific hypotheses about the
	acquisition of expertise. A comprehensive computational theory of
	the development of perceptual expertise remains elusive, but we can
	look to existing computational models from the object-recognition,
	perceptual-categorization, automaticity and related literatures for
	possible starting points. Arguably, hypotheses about the development
	of perceptual expertise should first be explored within the context
	of existing computational models of visual object understanding before
	considering the creation of highly modularized adaptations for particular
	domains of perceptual expertise.},
  doi      = {10.1016/j.tics.2004.06.001},
  keywords = {Attention, Automatic Data Processing, Cognition, Humans, Learning, Memory, Non-P.H.S., Non-U.S. Gov't, P.H.S., Perception, Professional Competence, Research Support, U.S. Gov't, Visual Perception, 15335465},
}

{"_id":"b2KGzMD8tauushfyB","bibbaseid":"palmeri-wong-gauthier-computationalapproachestothedevelopmentofperceptualexpertise-2004","author_short":["Palmeri, T. J","Wong, A. C.","Gauthier, I."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Thomas","J"],"propositions":[],"lastnames":["Palmeri"],"suffixes":[]},{"firstnames":["Alan","C-N"],"propositions":[],"lastnames":["Wong"],"suffixes":[]},{"firstnames":["Isabel"],"propositions":[],"lastnames":["Gauthier"],"suffixes":[]}],"journal":"Trends Cogn Sci","title":"Computational approaches to the development of perceptual expertise.","year":"2004","number":"8","pages":"378-86","volume":"8","abstract":"Dog experts, ornithologists, radiologists and other specialists are noted for their remarkable abilities at categorizing, identifying and recognizing objects within their domain of expertise. A complete understanding of the development of perceptual expertise requires a combination of thorough empirical research and carefully articulated computational theories that formalize specific hypotheses about the acquisition of expertise. A comprehensive computational theory of the development of perceptual expertise remains elusive, but we can look to existing computational models from the object-recognition, perceptual-categorization, automaticity and related literatures for possible starting points. Arguably, hypotheses about the development of perceptual expertise should first be explored within the context of existing computational models of visual object understanding before considering the creation of highly modularized adaptations for particular domains of perceptual expertise.","doi":"10.1016/j.tics.2004.06.001","keywords":"Attention, Automatic Data Processing, Cognition, Humans, Learning, Memory, Non-P.H.S., Non-U.S. Gov't, P.H.S., Perception, Professional Competence, Research Support, U.S. Gov't, Visual Perception, 15335465","bibtex":"@Article{Palmeri2004,\n author = {Thomas J Palmeri and Alan C-N Wong and Isabel Gauthier},\n journal = {Trends Cogn Sci},\n title = {Computational approaches to the development of perceptual expertise.},\n year = {2004},\n number = {8},\n pages = {378-86},\n volume = {8},\n abstract = {Dog experts, ornithologists, radiologists and other specialists are\n\tnoted for their remarkable abilities at categorizing, identifying\n\tand recognizing objects within their domain of expertise. A complete\n\tunderstanding of the development of perceptual expertise requires\n\ta combination of thorough empirical research and carefully articulated\n\tcomputational theories that formalize specific hypotheses about the\n\tacquisition of expertise. A comprehensive computational theory of\n\tthe development of perceptual expertise remains elusive, but we can\n\tlook to existing computational models from the object-recognition,\n\tperceptual-categorization, automaticity and related literatures for\n\tpossible starting points. Arguably, hypotheses about the development\n\tof perceptual expertise should first be explored within the context\n\tof existing computational models of visual object understanding before\n\tconsidering the creation of highly modularized adaptations for particular\n\tdomains of perceptual expertise.},\n doi = {10.1016/j.tics.2004.06.001},\n keywords = {Attention, Automatic Data Processing, Cognition, Humans, Learning, Memory, Non-P.H.S., Non-U.S. Gov't, P.H.S., Perception, Professional Competence, Research Support, U.S. Gov't, Visual Perception, 15335465},\n}\n\n","author_short":["Palmeri, T. J","Wong, A. C.","Gauthier, I."],"key":"Palmeri2004","id":"Palmeri2004","bibbaseid":"palmeri-wong-gauthier-computationalapproachestothedevelopmentofperceptualexpertise-2004","role":"author","urls":{},"keyword":["Attention","Automatic Data Processing","Cognition","Humans","Learning","Memory","Non-P.H.S.","Non-U.S. Gov't","P.H.S.","Perception","Professional Competence","Research Support","U.S. Gov't","Visual Perception","15335465"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://endress.org/publications/ansgar.bib","dataSources":["xPGxHAeh3vZpx4yyE","5qXSH7BrePnXHtcrf","TXa55dQbNoWnaGmMq"],"keywords":["attention","automatic data processing","cognition","humans","learning","memory","non-p.h.s.","non-u.s. gov't","p.h.s.","perception","professional competence","research support","u.s. gov't","visual perception","15335465"],"search_terms":["computational","approaches","development","perceptual","expertise","palmeri","wong","gauthier"],"title":"Computational approaches to the development of perceptual expertise.","year":2004}