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• W2105693527 startingPage "843" @default.
• W2105693527 abstract "Studies of the categorical perception (CP) of sensory continua have a long and rich history in psychophysics. In 1977, Macmillan, Kaplan, and Creelman introduced the use of signal detection theory to CP studies. Anderson and colleagues simultaneously proposed the first neural model for CP, yet this line of research has been less well explored. In this paper, we assess the ability of neural-network models of CP to predict the psychophysical performance of real observers with speech sounds and artificial/novel stimuli. We show that a variety of neural mechanisms are capable of generating the characteristics of CP. Hence, CP may not be a special mode of perception but an emergent property of any sufficiently powerful general learning system." @default.
• W2105693527 created "2016-06-24" @default.
• W2105693527 creator A5038054216 @default.
• W2105693527 creator A5068938534 @default.
• W2105693527 date "2000-01-01" @default.
• W2105693527 modified "2023-10-12" @default.
• W2105693527 title "Neural network models of categorical perception" @default.
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• W2105693527 doi "https://doi.org/10.3758/bf03206927" @default.
• W2105693527 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/10883589" @default.
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