Locus equations in models of human classification behavior
Behavioral and Brain Sciences 21 (2):284-285 (1998)
| Abstract | The potential role of locus equations in three existing models of human classification behavior is examined. Locus equations can play a useful role in single-prototype and boundary-based models for human consonant recognition by reducing model complexity. | |||||||||
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M. Arrigoni & A. Steiner (1983). Square-Root Models for the Volterra Equations and the Explicit Solution of These Models. Acta Biotheoretica 32 (2).
Keith R. Kluender (1998). Locus Equations Reveal Learnability. Behavioral and Brain Sciences 21 (2):273-274.
W. Tecumseh Fitch & Marc D. Hauser (1998). Differences That Make a Difference: Do Locus Equations Result From Physical Principles Characterizing All Mammalian Vocal Tracts? Behavioral and Brain Sciences 21 (2):264-265.
Lawrence Brancazio (1998). Does Locus-Equation Linearity Really Matter in Consonant Perception? Behavioral and Brain Sciences 21 (2):261-261.
Randy L. Diehl (1998). Locus Equations: A Partial Solution to the Problem of Consonant Place Perception. Behavioral and Brain Sciences 21 (2):264-264.
James R. Sawusch (1998). Acoustic Correlates and Perceptual Cues in Speech. Behavioral and Brain Sciences 21 (2):283-284.
Björn Lindblom (1998). An Articulatory Perspective on the Locus Equation. Behavioral and Brain Sciences 21 (2):274-275.
Allard Jongman (1998). Are Locus Equations Sufficient or Necessary for Obstruent Perception? Behavioral and Brain Sciences 21 (2):271-272.
William J. Idsardi (1998). A Phonological Perspective on Locus Equations. Behavioral and Brain Sciences 21 (2):270-271.
Krishna Govindarajan (1998). Listeners' Perceptual Mapping of Locus Equations and Variability. Behavioral and Brain Sciences 21 (2):266-267.
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