MLP: A MATLAB toolbox for rapid and reliable auditory threshold estimation

Behavior Research Methods

Volumn 41, Issue 1, 2009, Pages 20-28

  Grassi, Massimo ^a   Soranzo, Alessandro ^b  

^a UNIVERSITY OF PADOVA   (Italy)

^b TEESSIDE UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUDITORY THRESHOLD; HEARING; HUMAN; PSYCHOLOGICAL MODEL; PSYCHOPHYSICS;

AUDITORY PERCEPTION; AUDITORY THRESHOLD; HUMANS; MODELS, PSYCHOLOGICAL; PSYCHOACOUSTICS;

EID: 65349125282     PISSN: 1554351X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BRM.41.1.20     Document Type: Article

References (33)

1. Amitay, S., Irwin, A., Hawkey, D. J. C., Cowan, J. A., & Moore, D. R. (2006). A comparison of adaptive procedures for rapid and reliable threshold assessment and training in naive listeners. Journal of the Acoustical Society of America, 119, 1616-1625.
2. Amitay, S., Irwin, A., & Moore D. R. (2006). Discrimination learning induced by training with identical stimuli. Nature Neuroscience, 9, 1446-1448. doi:10.1038/nn1787
3. Baker, R. J., & Rosen, S. (1998). Minimizing the boredom by maxi- mising likelihood: Efficient estimation of masked threshold. British Journal of Audiology, 32, 104-105.
4. Baker, R. J., & Rosen, S. (2001). Evaluation of maximum likelihood threshold estimation with tone in noise masking. British Journal of Audiology, 35, 43-52.
5. Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 433-436.
6. Fechner, G. T. (1889). Elemente der Psychophysik (2nd ed.). Leipzig: Breitkopf & Härtel.
7. Florentine, M., Buus, S., & Geng, W. (2000). Toward a clinical procedure for narrowband gap detection: I. A psychophysical procedure. Audiology, 39, 161-167.
8. García-Pérez, M. A., & Alcala ́-Quintana, R. (2005). Sampling plans for fitting psychometric function. Spanish Journal of Psychology, 8, 256-289.
9. Green, D. M. (1990). Stimulus selection in adaptive psychophysical procedures. Journal of the Acoustical Society of America, 87, 2662- 2674. doi:10.1121/1.399058
10. Green, D. M. (1993). A maximum-likelihood method for estimating thresholds in a yes-no task. Journal of the Acoustical Society of Amer ica, 93, 2096-2105. doi:10.1121/1.406696
11. Green, D. M. (1995). Maximum-likelihood procedures and the inattentive observer. Journal of the Acoustical Society of America, 97, 3749-3760. doi:10.1121/1.412390
12. Green, D. M., & Swets, J. A. (1966). Signal detection theory and psychophysics. New York: Wiley.
13. Gu, X., & Green, D. M. (1994). Further studies of a maximum likeli- hood yes-no procedure. Journal of the Acoustical Society of America, 96, 93-101. doi:10.1121/1.410378
14. Hall, J. L. (1968). Maximum-likelihood sequential procedure for estimation of psychometric functions. Journal of the Acoustical Society of America, 44, 370.
15. Kaernbach, C. (1991). Simple adaptive testing with the weighted up-down method. Perception & Psychophysics, 49, 227-229.
16. Kidd, G. R., Watson, C. S., & Gygi, B. (2007). Individual differences in auditory abilities. Journal of the Acoustical Society of America, 122, 418-435.
17. Leek, M. R. (2001). Adaptive procedures in psychophysical research. Perception & Psychophysics, 63, 1279-1292.
18. Leek, M. R., Dubno, J. R., He, N.-J., & Ahlstrom, J. B. (2000). Experience with a yes-no single-interval maximum-likelihood procedure. Journal of the Acoustical Society of America, 107, 2674-2684.
19. Levitt, H. (1971). Transformed up-down methods in psychoacoustics. Journal of the Acoustical Society of America, 49, 467-477.
20. Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437-442.
21. Pentland, A. (1980). Maximum likelihood estimation: The best PEST. Perception & Psychophysics, 28, 377-379.
22. Saberi, K., & Green, D. M. (1997). Evaluation of maximum-likelihood estimators in nonintensive auditory psychophysics. Perception & Psychophysics, 59, 867-876.
23. Schlauch, R. S., & Rose, R. M. (1990). Two-, three-, and four- interval forced-choice staircase procedures: Estimator bias and ef- ficiency. Journal of the Acoustical Society of America, 88, 732-740. doi:10.1121/1.399776
24. Simpson, W. A. (1989). The step method: A new adaptive psychophysical procedure. Perception & Psychophysics, 45, 572-576.
25. Stanislaw, H., & Todorov, N. (1999). Calculation of signal detection theory measures. Behavior Research Methods, Instruments, & Computers, 31, 137-149.
26. Stevens, S. S. (1957). On the psychophysical law. Psychological Review, 64, 153-181. doi:10.1037/h0046162
27. Stevens, S. S., & Galanter, E. H. (1957). Ratio scales and category scales for a dozen perceptual continua. Journal of Experimental Psychology, 54, 377-411. doi:10.1037/h0043680
28. Taylor, M. M., & Creelman, C. D. (1967). PEST: Efficient estimates on probability functions. Journal of the Acoustical Society of America, 41, 782-787.
29. Treutwein, B. (1995). Adaptive psychophysical procedures. Vision Research, 35, 2503-2522. doi:10.1016/0042-6989%2895%2900016-S
30. von Bekesy, G. (1947). A new audiometer. Acta Otolaryngology, 35, 411-422.
31. Watson, A. B., & Pelli, D. G. (1983). QUEST: A Bayesian adaptive psychometric method. Perception & Psychophysics, 33, 113-120.
32. Wichmann, F. A., & Hill, N. J. (2001). The psychometric function: I. Fitting, sampling, and goodness of fit. Perception & Psychophysics, 63, 1293-1313.
33. Wright, B. A., Lombardino, L. J., King, W. M., Puranik, C. S., Leonard, L. M., & Merzenich, M. M. (1997). Deficits in auditory temporal and spectral resolution in language-impaired children. Nature, 387, 176-178. doi:10.1038/387176a0