FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017196430> ?p ?o ?g. }

• W2017196430 endingPage "3" @default.
• W2017196430 startingPage "3" @default.
• W2017196430 abstract "Human performance in visual detection, discrimination, identification, and search tasks typically improves with practice. Psychophysical studies suggest that perceptual learning is mediated by an enhancement in the coding of the signal, and physiological studies suggest that it might be related to the plasticity in the weighting or selection of sensory units coding task relevant information (learning through attention optimization). We propose an experimental paradigm (optimal perceptual learning paradigm) to systematically study the dynamics of perceptual learning in humans by allowing comparisons to that of an optimal Bayesian algorithm and a number of suboptimal learning models. We measured improvement in human localization (eight-alternative forced-choice with feedback) performance of a target randomly sampled from four elongated Gaussian targets with different orientations and polarities and kept as a target for a block of four trials. The results suggest that the human perceptual learning can occur within a lapse of four trials (<1 min) but that human learning is slower and incomplete with respect to the optimal algorithm (23.3% reduction in human efficiency from the 1st-to-4th learning trials). The greatest improvement in human performance, occurring from the 1st-to-2nd learning trial, was also present in the optimal observer, and, thus reflects a property inherent to the visual task and not a property particular to the human perceptual learning mechanism. One notable source of human inefficiency is that, unlike the ideal observer, human learning relies more heavily on previous decisions than on the provided feedback, resulting in no human learning on trials following a previous incorrect localization decision. Finally, the proposed theory and paradigm provide a flexible framework for future studies to evaluate the optimality of human learning of other visual cues and/or sensory modalities." @default.
• W2017196430 created "2016-06-24" @default.
• W2017196430 creator A5036336685 @default.
• W2017196430 creator A5039657761 @default.
• W2017196430 creator A5060524977 @default.
• W2017196430 creator A5084385239 @default.
• W2017196430 date "2004-12-07" @default.
• W2017196430 modified "2023-09-24" @default.
• W2017196430 title "Perceptual learning through optimization of attentional weighting: Human versus optimal Bayesian learner" @default.
• W2017196430 cites W1500287723 @default.
• W2017196430 cites W1621367005 @default.
• W2017196430 cites W1747565446 @default.
• W2017196430 cites W1784695092 @default.
• W2017196430 cites W1963805178 @default.
• W2017196430 cites W1964180678 @default.
• W2017196430 cites W1965674224 @default.
• W2017196430 cites W1972880371 @default.
• W2017196430 cites W1976442290 @default.
• W2017196430 cites W1985394992 @default.
• W2017196430 cites W1986214687 @default.
• W2017196430 cites W2003862038 @default.
• W2017196430 cites W2021540597 @default.
• W2017196430 cites W2023182894 @default.
• W2017196430 cites W2023904692 @default.
• W2017196430 cites W2031681594 @default.
• W2017196430 cites W2032909691 @default.
• W2017196430 cites W2038630605 @default.
• W2017196430 cites W2041240878 @default.
• W2017196430 cites W2051555035 @default.
• W2017196430 cites W2060258698 @default.
• W2017196430 cites W2062868449 @default.
• W2017196430 cites W2064708880 @default.
• W2017196430 cites W2069489242 @default.
• W2017196430 cites W2071850838 @default.
• W2017196430 cites W2076040187 @default.
• W2017196430 cites W2087702210 @default.
• W2017196430 cites W2095683621 @default.
• W2017196430 cites W2097639320 @default.
• W2017196430 cites W2103352010 @default.
• W2017196430 cites W2118176757 @default.
• W2017196430 cites W2118653130 @default.
• W2017196430 cites W2122249653 @default.
• W2017196430 cites W2122995579 @default.
• W2017196430 cites W2123838014 @default.
• W2017196430 cites W2126666959 @default.
• W2017196430 cites W2135176359 @default.
• W2017196430 cites W2146924077 @default.
• W2017196430 cites W2165331716 @default.
• W2017196430 cites W2165590801 @default.
• W2017196430 cites W2289965615 @default.
• W2017196430 doi "https://doi.org/10.1167/4.12.3" @default.
• W2017196430 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15669908" @default.
• W2017196430 hasPublicationYear "2004" @default.
• W2017196430 type Work @default.
• W2017196430 sameAs 2017196430 @default.
• W2017196430 citedByCount "53" @default.
• W2017196430 countsByYear W20171964302012 @default.
• W2017196430 countsByYear W20171964302013 @default.
• W2017196430 countsByYear W20171964302014 @default.
• W2017196430 countsByYear W20171964302015 @default.
• W2017196430 countsByYear W20171964302016 @default.
• W2017196430 countsByYear W20171964302017 @default.
• W2017196430 countsByYear W20171964302018 @default.
• W2017196430 countsByYear W20171964302020 @default.
• W2017196430 crossrefType "journal-article" @default.
• W2017196430 hasAuthorship W2017196430A5036336685 @default.
• W2017196430 hasAuthorship W2017196430A5039657761 @default.
• W2017196430 hasAuthorship W2017196430A5060524977 @default.
• W2017196430 hasAuthorship W2017196430A5084385239 @default.
• W2017196430 hasBestOaLocation W20171964301 @default.
• W2017196430 hasConcept C105795698 @default.
• W2017196430 hasConcept C107673813 @default.
• W2017196430 hasConcept C111472728 @default.
• W2017196430 hasConcept C119857082 @default.
• W2017196430 hasConcept C121332964 @default.
• W2017196430 hasConcept C126838900 @default.
• W2017196430 hasConcept C138885662 @default.
• W2017196430 hasConcept C153180895 @default.
• W2017196430 hasConcept C154945302 @default.
• W2017196430 hasConcept C15744967 @default.
• W2017196430 hasConcept C160234255 @default.
• W2017196430 hasConcept C162324750 @default.
• W2017196430 hasConcept C169760540 @default.
• W2017196430 hasConcept C179518139 @default.
• W2017196430 hasConcept C180747234 @default.
• W2017196430 hasConcept C183115368 @default.
• W2017196430 hasConcept C187736073 @default.
• W2017196430 hasConcept C189950617 @default.
• W2017196430 hasConcept C22033958 @default.
• W2017196430 hasConcept C26760741 @default.
• W2017196430 hasConcept C2780451532 @default.
• W2017196430 hasConcept C2780704645 @default.
• W2017196430 hasConcept C28006648 @default.
• W2017196430 hasConcept C33923547 @default.
• W2017196430 hasConcept C41008148 @default.
• W2017196430 hasConcept C62520636 @default.
• W2017196430 hasConcept C71924100 @default.
• W2017196430 hasConceptScore W2017196430C105795698 @default.

• next