Asymmetric transfer of sound localization learning between indistinguishable interaural cues
Abstract Learning in perceptual tasks is typically highly specific to the trained stimulus parameters. However, can learning be specific to a stimulus parameter that is perceptually indistinguishable from another? We assessed this question using a perceived sound location task in which the perceived...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sand, Anders [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag Berlin Heidelberg 2014 |
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| Übergeordnetes Werk: |
Enthalten in: Experimental brain research - Berlin : Springer, 1966, 232(2014), 6 vom: 25. Feb., Seite 1707-1716 |
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| Übergeordnetes Werk: |
volume:232 ; year:2014 ; number:6 ; day:25 ; month:02 ; pages:1707-1716 |
| Links: |
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| DOI / URN: |
10.1007/s00221-014-3863-7 |
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SPR002428407 |
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| 100 | 1 | |a Sand, Anders |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Asymmetric transfer of sound localization learning between indistinguishable interaural cues |
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| 520 | |a Abstract Learning in perceptual tasks is typically highly specific to the trained stimulus parameters. However, can learning be specific to a stimulus parameter that is perceptually indistinguishable from another? We assessed this question using a perceived sound location task in which the perceived sound location was created through either an interaural time difference (ITD) cue or an interaural level difference (ILD) cue. We used the same transient, broadband sound (clicks) for both cues, and after training on one of the cues, listeners switched cue mid-session. This allowed us to assess cue specificity or transfer when the subjectively unnoticed cue switch occurred. One group of listeners improved their ITD performance as a function of training, but deteriorated in performance when switching to ILD in mid training session. Another group of listeners started with ILD training; their improved performance level did not deteriorate as they switched to the ITD cue. This transfer asymmetry was not hypothesized, and we therefore extended our study with a second data collection. Both the training effect and the transfer asymmetry remained after the second data collection. Our results indicate (a) listeners can improve both their ITD and ILD performance for click sounds, extending previous findings on tones; (b) learning can be specific to a stimulus parameter that is indistinguishable from another, as ITD learning did not transfer to ILD performance; but (c) ILD learning can transfer to ITD performance. This transfer asymmetry may have occurred because of how ITD and ILD are coded in early brainstem areas. | ||
| 650 | 4 | |a Sound localization |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Perceptual learning |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Transfer |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Interaural time difference |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Interaural level difference |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Nilsson, Mats E. |4 aut | |
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2014 |
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10.1007/s00221-014-3863-7 doi (DE-627)SPR002428407 (SPR)s00221-014-3863-7-e DE-627 ger DE-627 rakwb eng Sand, Anders verfasserin aut Asymmetric transfer of sound localization learning between indistinguishable interaural cues 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2014 Abstract Learning in perceptual tasks is typically highly specific to the trained stimulus parameters. However, can learning be specific to a stimulus parameter that is perceptually indistinguishable from another? We assessed this question using a perceived sound location task in which the perceived sound location was created through either an interaural time difference (ITD) cue or an interaural level difference (ILD) cue. We used the same transient, broadband sound (clicks) for both cues, and after training on one of the cues, listeners switched cue mid-session. This allowed us to assess cue specificity or transfer when the subjectively unnoticed cue switch occurred. One group of listeners improved their ITD performance as a function of training, but deteriorated in performance when switching to ILD in mid training session. Another group of listeners started with ILD training; their improved performance level did not deteriorate as they switched to the ITD cue. This transfer asymmetry was not hypothesized, and we therefore extended our study with a second data collection. Both the training effect and the transfer asymmetry remained after the second data collection. Our results indicate (a) listeners can improve both their ITD and ILD performance for click sounds, extending previous findings on tones; (b) learning can be specific to a stimulus parameter that is indistinguishable from another, as ITD learning did not transfer to ILD performance; but (c) ILD learning can transfer to ITD performance. This transfer asymmetry may have occurred because of how ITD and ILD are coded in early brainstem areas. Sound localization (dpeaa)DE-He213 Perceptual learning (dpeaa)DE-He213 Transfer (dpeaa)DE-He213 Interaural time difference (dpeaa)DE-He213 Interaural level difference (dpeaa)DE-He213 Nilsson, Mats E. aut Enthalten in Experimental brain research Berlin : Springer, 1966 232(2014), 6 vom: 25. Feb., Seite 1707-1716 (DE-627)253723159 (DE-600)1459099-2 1432-1106 nnns volume:232 year:2014 number:6 day:25 month:02 pages:1707-1716 https://dx.doi.org/10.1007/s00221-014-3863-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 232 2014 6 25 02 1707-1716 |
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10.1007/s00221-014-3863-7 doi (DE-627)SPR002428407 (SPR)s00221-014-3863-7-e DE-627 ger DE-627 rakwb eng Sand, Anders verfasserin aut Asymmetric transfer of sound localization learning between indistinguishable interaural cues 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2014 Abstract Learning in perceptual tasks is typically highly specific to the trained stimulus parameters. However, can learning be specific to a stimulus parameter that is perceptually indistinguishable from another? We assessed this question using a perceived sound location task in which the perceived sound location was created through either an interaural time difference (ITD) cue or an interaural level difference (ILD) cue. We used the same transient, broadband sound (clicks) for both cues, and after training on one of the cues, listeners switched cue mid-session. This allowed us to assess cue specificity or transfer when the subjectively unnoticed cue switch occurred. One group of listeners improved their ITD performance as a function of training, but deteriorated in performance when switching to ILD in mid training session. Another group of listeners started with ILD training; their improved performance level did not deteriorate as they switched to the ITD cue. This transfer asymmetry was not hypothesized, and we therefore extended our study with a second data collection. Both the training effect and the transfer asymmetry remained after the second data collection. Our results indicate (a) listeners can improve both their ITD and ILD performance for click sounds, extending previous findings on tones; (b) learning can be specific to a stimulus parameter that is indistinguishable from another, as ITD learning did not transfer to ILD performance; but (c) ILD learning can transfer to ITD performance. This transfer asymmetry may have occurred because of how ITD and ILD are coded in early brainstem areas. Sound localization (dpeaa)DE-He213 Perceptual learning (dpeaa)DE-He213 Transfer (dpeaa)DE-He213 Interaural time difference (dpeaa)DE-He213 Interaural level difference (dpeaa)DE-He213 Nilsson, Mats E. aut Enthalten in Experimental brain research Berlin : Springer, 1966 232(2014), 6 vom: 25. Feb., Seite 1707-1716 (DE-627)253723159 (DE-600)1459099-2 1432-1106 nnns volume:232 year:2014 number:6 day:25 month:02 pages:1707-1716 https://dx.doi.org/10.1007/s00221-014-3863-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 232 2014 6 25 02 1707-1716 |
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10.1007/s00221-014-3863-7 doi (DE-627)SPR002428407 (SPR)s00221-014-3863-7-e DE-627 ger DE-627 rakwb eng Sand, Anders verfasserin aut Asymmetric transfer of sound localization learning between indistinguishable interaural cues 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2014 Abstract Learning in perceptual tasks is typically highly specific to the trained stimulus parameters. However, can learning be specific to a stimulus parameter that is perceptually indistinguishable from another? We assessed this question using a perceived sound location task in which the perceived sound location was created through either an interaural time difference (ITD) cue or an interaural level difference (ILD) cue. We used the same transient, broadband sound (clicks) for both cues, and after training on one of the cues, listeners switched cue mid-session. This allowed us to assess cue specificity or transfer when the subjectively unnoticed cue switch occurred. One group of listeners improved their ITD performance as a function of training, but deteriorated in performance when switching to ILD in mid training session. Another group of listeners started with ILD training; their improved performance level did not deteriorate as they switched to the ITD cue. This transfer asymmetry was not hypothesized, and we therefore extended our study with a second data collection. Both the training effect and the transfer asymmetry remained after the second data collection. Our results indicate (a) listeners can improve both their ITD and ILD performance for click sounds, extending previous findings on tones; (b) learning can be specific to a stimulus parameter that is indistinguishable from another, as ITD learning did not transfer to ILD performance; but (c) ILD learning can transfer to ITD performance. This transfer asymmetry may have occurred because of how ITD and ILD are coded in early brainstem areas. Sound localization (dpeaa)DE-He213 Perceptual learning (dpeaa)DE-He213 Transfer (dpeaa)DE-He213 Interaural time difference (dpeaa)DE-He213 Interaural level difference (dpeaa)DE-He213 Nilsson, Mats E. aut Enthalten in Experimental brain research Berlin : Springer, 1966 232(2014), 6 vom: 25. Feb., Seite 1707-1716 (DE-627)253723159 (DE-600)1459099-2 1432-1106 nnns volume:232 year:2014 number:6 day:25 month:02 pages:1707-1716 https://dx.doi.org/10.1007/s00221-014-3863-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 232 2014 6 25 02 1707-1716 |
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10.1007/s00221-014-3863-7 doi (DE-627)SPR002428407 (SPR)s00221-014-3863-7-e DE-627 ger DE-627 rakwb eng Sand, Anders verfasserin aut Asymmetric transfer of sound localization learning between indistinguishable interaural cues 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2014 Abstract Learning in perceptual tasks is typically highly specific to the trained stimulus parameters. However, can learning be specific to a stimulus parameter that is perceptually indistinguishable from another? We assessed this question using a perceived sound location task in which the perceived sound location was created through either an interaural time difference (ITD) cue or an interaural level difference (ILD) cue. We used the same transient, broadband sound (clicks) for both cues, and after training on one of the cues, listeners switched cue mid-session. This allowed us to assess cue specificity or transfer when the subjectively unnoticed cue switch occurred. One group of listeners improved their ITD performance as a function of training, but deteriorated in performance when switching to ILD in mid training session. Another group of listeners started with ILD training; their improved performance level did not deteriorate as they switched to the ITD cue. This transfer asymmetry was not hypothesized, and we therefore extended our study with a second data collection. Both the training effect and the transfer asymmetry remained after the second data collection. Our results indicate (a) listeners can improve both their ITD and ILD performance for click sounds, extending previous findings on tones; (b) learning can be specific to a stimulus parameter that is indistinguishable from another, as ITD learning did not transfer to ILD performance; but (c) ILD learning can transfer to ITD performance. This transfer asymmetry may have occurred because of how ITD and ILD are coded in early brainstem areas. Sound localization (dpeaa)DE-He213 Perceptual learning (dpeaa)DE-He213 Transfer (dpeaa)DE-He213 Interaural time difference (dpeaa)DE-He213 Interaural level difference (dpeaa)DE-He213 Nilsson, Mats E. aut Enthalten in Experimental brain research Berlin : Springer, 1966 232(2014), 6 vom: 25. Feb., Seite 1707-1716 (DE-627)253723159 (DE-600)1459099-2 1432-1106 nnns volume:232 year:2014 number:6 day:25 month:02 pages:1707-1716 https://dx.doi.org/10.1007/s00221-014-3863-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 232 2014 6 25 02 1707-1716 |
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10.1007/s00221-014-3863-7 doi (DE-627)SPR002428407 (SPR)s00221-014-3863-7-e DE-627 ger DE-627 rakwb eng Sand, Anders verfasserin aut Asymmetric transfer of sound localization learning between indistinguishable interaural cues 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2014 Abstract Learning in perceptual tasks is typically highly specific to the trained stimulus parameters. However, can learning be specific to a stimulus parameter that is perceptually indistinguishable from another? We assessed this question using a perceived sound location task in which the perceived sound location was created through either an interaural time difference (ITD) cue or an interaural level difference (ILD) cue. We used the same transient, broadband sound (clicks) for both cues, and after training on one of the cues, listeners switched cue mid-session. This allowed us to assess cue specificity or transfer when the subjectively unnoticed cue switch occurred. One group of listeners improved their ITD performance as a function of training, but deteriorated in performance when switching to ILD in mid training session. Another group of listeners started with ILD training; their improved performance level did not deteriorate as they switched to the ITD cue. This transfer asymmetry was not hypothesized, and we therefore extended our study with a second data collection. Both the training effect and the transfer asymmetry remained after the second data collection. Our results indicate (a) listeners can improve both their ITD and ILD performance for click sounds, extending previous findings on tones; (b) learning can be specific to a stimulus parameter that is indistinguishable from another, as ITD learning did not transfer to ILD performance; but (c) ILD learning can transfer to ITD performance. This transfer asymmetry may have occurred because of how ITD and ILD are coded in early brainstem areas. Sound localization (dpeaa)DE-He213 Perceptual learning (dpeaa)DE-He213 Transfer (dpeaa)DE-He213 Interaural time difference (dpeaa)DE-He213 Interaural level difference (dpeaa)DE-He213 Nilsson, Mats E. aut Enthalten in Experimental brain research Berlin : Springer, 1966 232(2014), 6 vom: 25. Feb., Seite 1707-1716 (DE-627)253723159 (DE-600)1459099-2 1432-1106 nnns volume:232 year:2014 number:6 day:25 month:02 pages:1707-1716 https://dx.doi.org/10.1007/s00221-014-3863-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 232 2014 6 25 02 1707-1716 |
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Enthalten in Experimental brain research 232(2014), 6 vom: 25. Feb., Seite 1707-1716 volume:232 year:2014 number:6 day:25 month:02 pages:1707-1716 |
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Enthalten in Experimental brain research 232(2014), 6 vom: 25. Feb., Seite 1707-1716 volume:232 year:2014 number:6 day:25 month:02 pages:1707-1716 |
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Sand, Anders @@aut@@ Nilsson, Mats E. @@aut@@ |
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However, can learning be specific to a stimulus parameter that is perceptually indistinguishable from another? We assessed this question using a perceived sound location task in which the perceived sound location was created through either an interaural time difference (ITD) cue or an interaural level difference (ILD) cue. We used the same transient, broadband sound (clicks) for both cues, and after training on one of the cues, listeners switched cue mid-session. This allowed us to assess cue specificity or transfer when the subjectively unnoticed cue switch occurred. One group of listeners improved their ITD performance as a function of training, but deteriorated in performance when switching to ILD in mid training session. Another group of listeners started with ILD training; their improved performance level did not deteriorate as they switched to the ITD cue. This transfer asymmetry was not hypothesized, and we therefore extended our study with a second data collection. 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Sand, Anders |
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Sand, Anders misc Sound localization misc Perceptual learning misc Transfer misc Interaural time difference misc Interaural level difference Asymmetric transfer of sound localization learning between indistinguishable interaural cues |
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Asymmetric transfer of sound localization learning between indistinguishable interaural cues Sound localization (dpeaa)DE-He213 Perceptual learning (dpeaa)DE-He213 Transfer (dpeaa)DE-He213 Interaural time difference (dpeaa)DE-He213 Interaural level difference (dpeaa)DE-He213 |
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Asymmetric transfer of sound localization learning between indistinguishable interaural cues |
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asymmetric transfer of sound localization learning between indistinguishable interaural cues |
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Asymmetric transfer of sound localization learning between indistinguishable interaural cues |
| abstract |
Abstract Learning in perceptual tasks is typically highly specific to the trained stimulus parameters. However, can learning be specific to a stimulus parameter that is perceptually indistinguishable from another? We assessed this question using a perceived sound location task in which the perceived sound location was created through either an interaural time difference (ITD) cue or an interaural level difference (ILD) cue. We used the same transient, broadband sound (clicks) for both cues, and after training on one of the cues, listeners switched cue mid-session. This allowed us to assess cue specificity or transfer when the subjectively unnoticed cue switch occurred. One group of listeners improved their ITD performance as a function of training, but deteriorated in performance when switching to ILD in mid training session. Another group of listeners started with ILD training; their improved performance level did not deteriorate as they switched to the ITD cue. This transfer asymmetry was not hypothesized, and we therefore extended our study with a second data collection. Both the training effect and the transfer asymmetry remained after the second data collection. Our results indicate (a) listeners can improve both their ITD and ILD performance for click sounds, extending previous findings on tones; (b) learning can be specific to a stimulus parameter that is indistinguishable from another, as ITD learning did not transfer to ILD performance; but (c) ILD learning can transfer to ITD performance. This transfer asymmetry may have occurred because of how ITD and ILD are coded in early brainstem areas. © Springer-Verlag Berlin Heidelberg 2014 |
| abstractGer |
Abstract Learning in perceptual tasks is typically highly specific to the trained stimulus parameters. However, can learning be specific to a stimulus parameter that is perceptually indistinguishable from another? We assessed this question using a perceived sound location task in which the perceived sound location was created through either an interaural time difference (ITD) cue or an interaural level difference (ILD) cue. We used the same transient, broadband sound (clicks) for both cues, and after training on one of the cues, listeners switched cue mid-session. This allowed us to assess cue specificity or transfer when the subjectively unnoticed cue switch occurred. One group of listeners improved their ITD performance as a function of training, but deteriorated in performance when switching to ILD in mid training session. Another group of listeners started with ILD training; their improved performance level did not deteriorate as they switched to the ITD cue. This transfer asymmetry was not hypothesized, and we therefore extended our study with a second data collection. Both the training effect and the transfer asymmetry remained after the second data collection. Our results indicate (a) listeners can improve both their ITD and ILD performance for click sounds, extending previous findings on tones; (b) learning can be specific to a stimulus parameter that is indistinguishable from another, as ITD learning did not transfer to ILD performance; but (c) ILD learning can transfer to ITD performance. This transfer asymmetry may have occurred because of how ITD and ILD are coded in early brainstem areas. © Springer-Verlag Berlin Heidelberg 2014 |
| abstract_unstemmed |
Abstract Learning in perceptual tasks is typically highly specific to the trained stimulus parameters. However, can learning be specific to a stimulus parameter that is perceptually indistinguishable from another? We assessed this question using a perceived sound location task in which the perceived sound location was created through either an interaural time difference (ITD) cue or an interaural level difference (ILD) cue. We used the same transient, broadband sound (clicks) for both cues, and after training on one of the cues, listeners switched cue mid-session. This allowed us to assess cue specificity or transfer when the subjectively unnoticed cue switch occurred. One group of listeners improved their ITD performance as a function of training, but deteriorated in performance when switching to ILD in mid training session. Another group of listeners started with ILD training; their improved performance level did not deteriorate as they switched to the ITD cue. This transfer asymmetry was not hypothesized, and we therefore extended our study with a second data collection. Both the training effect and the transfer asymmetry remained after the second data collection. Our results indicate (a) listeners can improve both their ITD and ILD performance for click sounds, extending previous findings on tones; (b) learning can be specific to a stimulus parameter that is indistinguishable from another, as ITD learning did not transfer to ILD performance; but (c) ILD learning can transfer to ITD performance. This transfer asymmetry may have occurred because of how ITD and ILD are coded in early brainstem areas. © Springer-Verlag Berlin Heidelberg 2014 |
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Asymmetric transfer of sound localization learning between indistinguishable interaural cues |
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https://dx.doi.org/10.1007/s00221-014-3863-7 |
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Nilsson, Mats E. |
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| score |
7.4008617 |