Auditory Temporal Discrimination from the Perspective of Gap
In: Timing & Time PerceptionSearch for other papers by Shuji Mori in
Current site
Google Scholar
Search for other papers by Hyunsoo Cho in
Current site
Google Scholar
Search for other papers by Willy Wong in
Current site
Google Scholar
Abstract
Gap detection refers to the perceptual ability to detect brief silences in auditory stimuli. This study investigates temporal discrimination in relation to the perception and processing of gaps. Experiments were conducted to measure gap discrimination thresholds using markers of different frequencies. The results reveal that the threshold for gap discrimination varies depending on the frequency separation between the leading and trailing markers. Notably, when the markers have identical frequencies, the threshold increases monotonically up to the study limit of 100 ms, with a slope that deviates from Weber’s law. To better comprehend these findings, a previously proposed neural model of gap detection was expanded to account for discrimination. This model shows good compatibility with the experimental results and is able to unify gap detection with temporal discrimination. The model also provides a possible mechanism for the pacemaker in the internal clock hypothesis.
Purchase
Buy instant access (PDF download and unlimited online access):
Institutional Login
Log in with Open Athens, Shibboleth, or your institutional credentials
Personal login
Log in with your brill.com account
-
Abel, S. M. (1972). Discrimination of temporal gaps. Journal of the Acoustical Society of America, 52(2B): 519–525.
-
Allan, L. G., Kristofferson, A. B., and Wiens, E. (1971). Duration discrimination of brief light flashes. Perception & Psychophysics, 9(3): 327–334.
-
Buus, S. and Florentine, M. (1985). Gap detection in normal and impaired listeners: The effect of level and frequency. In Time Resolution in Auditory Systems, pp. 159–179. Springer.
-
Creelman, C. D. (1962). Human discrimination of auditory duration. Journal of the Acoustical Society of America, 34(5): 582–593.
-
Divenyi, P. L. and Danner, W. F. (1977). Discrimination of time intervals marked by brief acoustic pulses of various intensities and spectra. Perception & Psychophysics, 21(2): 125–142.
-
Divenyi, P. L. and Sachs, R. M. (1978). Discrimination of time intervals bounded by tone bursts. Perception & Psychophysics, 24(5): 429–436.
-
Eggermont, J. J. (1999). Neural correlates of gap detection in three auditory cortical fields in the cat. Journal of Neurophysiology, 81(5): 2570–2581.
-
Eppler, J. M., Helias, M., Muller, E., Diesmann, M., and Gewaltig, M.-O. (2009). PyNEST: a convenient interface to the NEST simulator. Frontiers in Neuroinformatics, 2: 12.
-
Fitzgibbons, P. J. (1983). Temporal gap detection in noise as a function of frequency, bandwidth, and level. Journal of the Acoustical Society of America, 74(1): 67–72.
-
Formby, C. and Forrest, T. G. (1991). Detection of silent temporal gaps in sinusoidal markers. Journal of the Acoustical Society of America, 89(2): 830–837.
-
Gabbiani, F. and Koch, C. (1998). Principles of spike train analysis. In Methods in Neural Modeling, pp. 313–360. MIT Press.
-
Getty, D. J. (1975). Discrimination of short temporal intervals: A comparison of two models. Perception & Psychophysics, 18(1): 1–8.
-
Gibbon, J. (1977). Scalar expectancy theory and Weber’s law in animal timing. Psychological Review, 84(3): 279.
-
Goodman, D. F. and Brette, R. (2008). Brian: a simulator for spiking neural networks in Python. Frontiers in Neuroinformatics, 2: 5.
-
Grondin, S. (1993). Duration discrimination of empty and filled intervals marked by auditory and visual signals. Perception & Psychophysics, 54(3): 383–394.
-
Grondin, S. (2010). Timing and time perception: A review of recent behavioral and neuroscience findings and theoretical directions. Attention, Perception, & Psychophysics, 72(3): 561–582.
-
Grose, J. H., Hall, J. W. I., and Buss, E. (2001). Gap duration discrimination in listeners with cochlear hearing loss: effects of gap and marker duration, frequency separation, and mode of presentation. Journal of the Association for Research in Otolaryngology, 2(4): 388–398.
-
Heinrich, A., Alain, C., and Schneider, B. A. (2004). Within- and between-channel gap detection in the human auditory cortex. Neuroreport, 15(13): 2051–2056.
-
Heinrich, A. and Schneider, B. (2006). Age-related changes in within-and between-channel gap detection using sinusoidal stimuli. Journal of the Acoustical Society of America, 119(4): 2316–2326.
-
Lister, J., Besing, J., and Koehnke, J. (2002). Effects of age and frequency disparity on gap discrimination. Journal of the Acoustical Society of America, 111(5): 2793–2793.
-
Lister, J., Koehnke, J., and Besing, J. (2000). Binaural gap duration discrimination in listeners with impaired hearing and normal hearing. Ear and Hearing, 21(2): 141–150.
-
Liu, Y., Qin, L., Zhang, X., Dong, C., and Sato, Y. (2010). Neural correlates of auditory temporal-interval discrimination in cats. Behavioural Brain Research, 215(1): 28–38.
-
Mitsudo, T., Hironaga, N., and Mori, S. (2014). Cortical activity associated with the detection of temporal gaps in tones: a magnetoencephalography study. Frontiers in Human Neuroscience, 8: 763.
-
Moore, B., Peters, R., and Glasberg, B. (1993). Detection of temporal gaps in sinusoids: effects of frequency and level. Journal of the Acoustical Society of America, 93(3): 1563–1570.
-
Moore, B. C. (2012). An Introduction to the Psychology of Hearing. Brill.
-
Moore, B. C. and Glasberg, B. R. (1988). Gap detection with sinusoids and noise in normal, impaired, and electrically stimulated ears. Journal of the Acoustical Society of America, 83(3): 1093–1101.
-
Mori, S., Kikuchi, Y., Hirose, N., Lepage, H., and Wong, W. (2018). Auditory gap detection: psychometric functions and insights into the underlying neural activity. Biological Cybernetics, 112(6): 575–584.
-
Mori, S., Oyama, K., Kikuchi, Y., Mitsudo, T., and Hirose, N. (2015). Between-frequency and between-ear gap detections and their relation to perception of stop consonants. Ear and Hearing, 36(4): 464–470.
-
Penner, M. J. (1976). The effect of marker variability on the discrimination of temporal intervals. Perception & Psychophysics, 19(6): 466–469.
-
Phillips, D. P., Taylor, T. L., Hall, S. E., Carr, M. M., and Mossop, J. E. (1997). Detection of silent intervals between noises activating different perceptual channels: some properties of “central” auditory gap detection. Journal of the Acoustical Society of America, 101(6): 3694–3705.
-
Plomp, R. (1964). Rate of decay of auditory sensation. Journal of the Acoustical Society of America, 36(2): 277–282.
-
Rammsayer, T. H. (2010). Differences in duration discrimination of filled and empty auditory intervals as a function of base duration. Attention, Perception, & Psychophysics, 72: 1591–1600.
-
Rammsayer, T. H. and Grondin, S. (2000). Psychophysics of human timing. In Time and the brain, pp. 197–211. CRC Press.
-
Rammsayer, T. H. and Lima, S. D. (1991). Duration discrimination of filled and empty auditory intervals: Cognitive and perceptual factors. Perception & Psychophysics, 50: 565–574.
-
Rammsayer, T. H. and Troche, S. J. (2014). In search of the internal structure of the processes underlying interval timing in the sub-second and the second range: a confirmatory factor analysis approach. Acta Psychologica, 147: 68–74.
-
Relkin, E. M. and Doucet, J. R. (1991). Recovery from prior stimulation. i: Relationship to spontaneous firing rates of primary auditory neurons. Hearing Research, 55(2): 215–222.
-
Schneider, B. A. and Hamstra, S. J. (1999). Gap detection thresholds as a function of tonal duration for younger and older listeners. Journal of the Acoustical Society of America, 106(1): 371–380.
-
Smith, R. L. (1988). Encoding of sound intensity by auditory neurons. In Edelman, G. M., Gall, W. E., and Cowan, W. M., editors, Auditory Function: Neurobiological Bases of Hearing, pp. 243–284. John Wiley & Sons, Toronto, Canada.
-
Smith, R. L. and Zwislocki, J. (1975). Short-term adaptation and incremental responses of single auditory-nerve fibers. Biological Cybernetics, 17(3): 169–182.
-
Stellmack, M. A., Viemeister, N. F., Byrne, A. J., and Sheft, S. (2013). The effects of marker-related temporal cues on auditory gap-duration discrimination. Attention, Perception, & Psychophysics, 75: 121–131.
-
Treisman, M. (1963). Temporal discrimination and the indifference interval: Implications for a model of the “internal clock”. Psychological Monographs: General and Applied, 77(13): 1–31.
-
Ulrich, R., Bausenhart, K., and Wearden, J. H. (2022). Weber’s law for timing and time perception: Reconciling the Poisson clock with scalar expectancy theory (set). Timing & Time Perception, 11(1-4): 167–197.
-
Zheng, C.-M., Ito, S., Minami, S., Horikawa, J., and Murata, K. (1992). Frequency thresholds of rat cochlear nerve fibers. The Japanese Journal of Physiology, 42(3): 459–472.
-
Zilany, M. S., Bruce, I. C., Nelson, P. C., and Carney, L. H. (2009). A phenomenological model of the synapse between the inner hair cell and auditory nerve: long-term adaptation with power-law dynamics. The Journal of the Acoustical Society of America, 126(5): 2390–2412.
-
Zwicker, E., Flottorp, G., and Stevens, S. (1957). Critical band width in loudness summation. Journal of the Acoustical Society of America, 29(5): 548–557.
| All Time | Past Year | Past 30 Days | |
|---|---|---|---|
| Abstract Views | 139 | 139 | 14 |
| Full Text Views | 1 | 1 | 0 |
| PDF Views & Downloads | 141 | 141 | 20 |
Auditory Temporal Discrimination from the Perspective of Gap
In: Timing & Time PerceptionSearch for other papers by Shuji Mori in
Current site
Google Scholar
PubMed
Search for other papers by Hyunsoo Cho in
Current site
Google Scholar
PubMed
Search for other papers by Willy Wong in
Current site
Google Scholar
PubMed
Abstract
Gap detection refers to the perceptual ability to detect brief silences in auditory stimuli. This study investigates temporal discrimination in relation to the perception and processing of gaps. Experiments were conducted to measure gap discrimination thresholds using markers of different frequencies. The results reveal that the threshold for gap discrimination varies depending on the frequency separation between the leading and trailing markers. Notably, when the markers have identical frequencies, the threshold increases monotonically up to the study limit of 100 ms, with a slope that deviates from Weber’s law. To better comprehend these findings, a previously proposed neural model of gap detection was expanded to account for discrimination. This model shows good compatibility with the experimental results and is able to unify gap detection with temporal discrimination. The model also provides a possible mechanism for the pacemaker in the internal clock hypothesis.
| All Time | Past Year | Past 30 Days | |
|---|---|---|---|
| Abstract Views | 139 | 139 | 14 |
| Full Text Views | 1 | 1 | 0 |
| PDF Views & Downloads | 141 | 141 | 20 |