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Journal articles on the topic 'Perceptual discrimination'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Trobalon, J. B., J. Sansa, V. D. Chamizo, and N. J. Mackintos. "Perceptual Learning in Maze Discriminations." Quarterly Journal of Experimental Psychology Section B 43, no. 4b (November 1991): 389–402. http://dx.doi.org/10.1080/14640749108401276.

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In Experiment 1, rats were trained on a discrimination between rubber- and sandpaper-covered arms of a maze after one group had been pre-exposed to these intra-maze cues. Pre-exposure facilitated subsequent discrimination learning, unless the discrimination was made easier by adding further discriminative stimuli, when it now significantly retarded learning. In Experiment 2, rats were trained on an extra-maze spatial discrimination, again after one group, but not another, had been pre-exposed to the extra-maze landmarks. Here too, pre-exposure facilitated subsequent discrimination learning, unless the discrimination was made substantially easier by arranging that the two arms between which rats had to choose were always separated by 135°. The results of both experiments can be explained by supposing that perceptual learning depends on the presence of features common to S+ and S-.

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2

Perälä, Mika. "Aristotle on Perceptual Discrimination." Phronesis 63, no. 3 (May 23, 2018): 257–92. http://dx.doi.org/10.1163/15685284-12341351.

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AbstractIt is commonly assumed that Aristotle defines a sense by reference to its ability to perceive the items that are proper to that sense, and that he explains perceptions of unities of these items, and discriminations between them, by reference to what is called the ‘common sense’. This paper argues in contrast that Aristotle defines a sense by reference, not only to its ability to perceive the proper items, but also to its ability to discriminate between them, and thus aims to show that Aristotle’s theory of sense perception is basically a theory of perceptual discrimination.

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3

Choplin, J., J. Huttenlocher, and P. Kellman. "Perceptual discrimination and memory." Journal of Vision 1, no. 3 (March 14, 2010): 472. http://dx.doi.org/10.1167/1.3.472.

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4

Lloyd-Jones, Toby J., Charity Brown, and Simon Clarke. "Verbal overshadowing of perceptual discrimination." Psychonomic Bulletin & Review 13, no. 2 (April 2006): 269–74. http://dx.doi.org/10.3758/bf03193842.

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5

Han, Yoon K., Hania Köver, Michele N. Insanally, John H. Semerdjian, and Shaowen Bao. "Early experience impairs perceptual discrimination." Nature Neuroscience 10, no. 9 (July 29, 2007): 1191–97. http://dx.doi.org/10.1038/nn1941.

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6

Yu, C., S. A. Klein, and D. M. Levi. "Perceptual learning of contrast discrimination." Journal of Vision 3, no. 9 (March 16, 2010): 161. http://dx.doi.org/10.1167/3.9.161.

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7

Guo, Jianfei, and Joo-Hyun Song. "Action Fluency Facilitates Perceptual Discrimination." Psychological Science 30, no. 10 (September 10, 2019): 1434–48. http://dx.doi.org/10.1177/0956797619859361.

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Perception and action interact in nearly every moment of daily life. Previous studies have demonstrated not only that perceptual input shapes action but also that various factors associated with action—including individual abilities and biomechanical costs—influence perceptual decisions. However, it is unknown how action fluency affects the sensitivity of early-stage visual perception, such as orientation. To address this question, we used a dual-task paradigm: Participants prepared an action (e.g., grasping), while concurrently performing an orientation-change-detection task. We demonstrated that as actions became more fluent (e.g., as grasping errors decreased), perceptual-discrimination performance also improved. Importantly, we found that grasping training prior to discrimination enhanced subsequent perceptual sensitivity, supporting the notion of a reciprocal relation between perception and action.

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8

Demany, Laurent. "Perceptual learning in frequency discrimination." Journal of the Acoustical Society of America 78, no. 3 (September 1985): 1118–20. http://dx.doi.org/10.1121/1.393034.

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9

Schellenberg, Susanna. "Accuracy Conditions, Functions, Perceptual Discrimination." Analysis 79, no. 4 (October 1, 2019): 739–54. http://dx.doi.org/10.1093/analys/anz057.

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10

Barnes, Dylan C., Rylon D. Hofacer, Ashiq R. Zaman, Robert L. Rennaker, and Donald A. Wilson. "Olfactory perceptual stability and discrimination." Nature Neuroscience 11, no. 12 (November 2, 2008): 1378–80. http://dx.doi.org/10.1038/nn.2217.

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11

Echeverri, Santiago. "Perceptual Knowledge, Discrimination, and Closure." Erkenntnis 85, no. 6 (November 19, 2018): 1361–78. http://dx.doi.org/10.1007/s10670-018-0081-x.

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12

Göhringer, Frederic, Miriam Löhr-Limpens, Constanze Hesse, and Thomas Schenk. "Grasping Discriminates between Object Sizes Less Not More Accurately than the Perceptual System." Vision 3, no. 3 (July 19, 2019): 36. http://dx.doi.org/10.3390/vision3030036.

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Ganel, Freud, Chajut, and Algom (2012) demonstrated that maximum grip apertures (MGAs) differ significantly when grasping perceptually identical objects. From this finding they concluded that the visual size information used by the motor system is more accurate than the visual size information available to the perceptual system. A direct comparison between the accuracy in the perception and the action system is, however, problematic, given that accuracy in the perceptual task is measured using a dichotomous variable, while accuracy in the visuomotor task is determined using a continuous variable. We addressed this problem by dichotomizing the visuomotor measures. Using this approach, our results show that size discrimination in grasping is in fact inferior to perceptual discrimination therefore contradicting the original suggestion put forward by Ganel and colleagues.

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13

Maurer, Daphne, Julian K. Ghloum, Laura C. Gibson, Marcus R. Watson, Lawrence M. Chen, Kathleen Akins, James T. Enns, Takao K. Hensch, and Janet F. Werker. "Reduced perceptual narrowing in synesthesia." Proceedings of the National Academy of Sciences 117, no. 18 (April 22, 2020): 10089–96. http://dx.doi.org/10.1073/pnas.1914668117.

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Synesthesia is a neurologic trait in which specific inducers, such as sounds, automatically elicit additional idiosyncratic percepts, such as color (thus “colored hearing”). One explanation for this trait—and the one tested here—is that synesthesia results from unusually weak pruning of cortical synaptic hyperconnectivity during early perceptual development. We tested the prediction from this hypothesis that synesthetes would be superior at making discriminations from nonnative categories that are normally weakened by experience-dependent pruning during a critical period early in development—namely, discrimination among nonnative phonemes (Hindi retroflex /d̪a/ and dental /ɖa/), among chimpanzee faces, and among inverted human faces. Like the superiority of 6-mo-old infants over older infants, the synesthetic groups were significantly better than control groups at making all the nonnative discriminations across five samples and three testing sites. The consistent superiority of the synesthetic groups in making discriminations that are normally eliminated during infancy suggests that residual cortical connectivity in synesthesia supports changes in perception that extend beyond the specific synesthetic percepts, consistent with the incomplete pruning hypothesis.

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14

Oruç, Ipek, and Jason J. S. Barton. "Adaptation improves discrimination of face identity." Proceedings of the Royal Society B: Biological Sciences 278, no. 1718 (January 26, 2011): 2591–97. http://dx.doi.org/10.1098/rspb.2010.2480.

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Whether face adaptation confers any advantages to perceptual processing remains an open question. We investigated whether face adaptation can enhance the ability to make fine discriminations in the vicinity of the adapted face. We compared face discrimination thresholds in three adapting conditions: (i) same-face: where adapting and test faces were the same, (ii) different-face: where adapting and test faces differed, and (iii) baseline: where the adapting stimulus was a blank. Discrimination thresholds for morphed identity changes involving the adapted face (same-face) improved compared with those from both the baseline (no-adaptation) and different-face conditions. Since adapting to a face did not alter discrimination performance for other faces, this effect is selective for the facial identity that is adapted. These results indicate a form of gain control to heighten perceptual sensitivity in the vicinity of a currently viewed face, analogous to forms of adaptive gain control at lower levels of the visual system.

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15

Raidvee, A., and J. Allik. "Perceptual bottleneck of numerical proportion discrimination." Journal of Vision 14, no. 10 (August 22, 2014): 611. http://dx.doi.org/10.1167/14.10.611.

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16

Pritchard, Duncan. "Relevant Alternatives, Perceptual Knowledge and Discrimination." Noûs 44, no. 2 (May 25, 2010): 245–68. http://dx.doi.org/10.1111/j.1468-0068.2010.00739.x.

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17

Zhang, Yifei, Fang Fang, and Yizhou Wang. "Dyadic perceptual learning of orientation discrimination." Journal of Vision 18, no. 10 (September 1, 2018): 270. http://dx.doi.org/10.1167/18.10.270.

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18

Goldstone, Robert L. "Influences of categorization on perceptual discrimination." Journal of Experimental Psychology: General 123, no. 2 (1994): 178–200. http://dx.doi.org/10.1037/0096-3445.123.2.178.

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19

Buus, So/ren, Reinier Kortekaas, and Mary Florentine. "Perceptual channel weights for level discrimination." Journal of the Acoustical Society of America 107, no. 5 (May 2000): 2820. http://dx.doi.org/10.1121/1.429097.

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20

Kortekaas, Reinier, Søren Buus, and Mary Florentine. "Perceptual weights in auditory level discrimination." Journal of the Acoustical Society of America 113, no. 6 (2003): 3306. http://dx.doi.org/10.1121/1.1570441.

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21

Seider, T., E. Porges, A. Woods, and R. Cohen. "C-19 An fMRI Study of Age-Associated Changes in Basic Visual Discrimination." Archives of Clinical Neuropsychology 34, no. 6 (July 25, 2019): 1048. http://dx.doi.org/10.1093/arclin/acz034.181.

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Abstract Objective The study was conducted to determine age-associated changes in functional brain response, measured with fMRI, during visual discrimination with regard to three elementary components of visual perception: shape, location, and velocity. A secondary aim was to validate the method used to isolate the hypothesized brain regions associated with these perceptual functions. Method Items from the Visual Assessment Battery (VAB), a simultaneous match-to-sample task, assessed visual discrimination in 40 healthy adults during fMRI. Participants were aged 51-91 and recruited from a larger community sample for a study on normal aging. The tasks were designed to isolate neural recruitment during discrimination of either location, shape, or velocity by using tasks that were identical aside from the perceptual skill required to complete them. Results The Location task uniquely activated the dorsal visual processing stream, the Shape task the ventral stream, and the Velocity task V5/MT. Greater age was associated with greater neural recruitment, particularly in frontal areas (uncorrected voxel-level p < .001, family-wise error cluster-level p□.05). Conclusions Results validated the specialization of brain regions for spatial, perceptual, and movement discriminations and the use of the VAB to assess functioning localized to these regions. Anterior neural recruitment during visual discrimination increases with age.

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22

Magnussen, Svem, and Stem Dyrnes. "High-Fidelity Perceptual Long-Term Memory." Psychological Science 5, no. 2 (March 1994): 99–102. http://dx.doi.org/10.1111/j.1467-9280.1994.tb00638.x.

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Visual long-term memory for spatial information was assessed by measuring discrimination thresholds for the spatial frequency of sinusoidal gratings in a delayed discrimination task, with various time intervals separating test and reference stimuli The results demonstrate perfect preservation of information across 1-s to 50-hr retention intervals in the sense that the spatial frequency discrimination thresholds remained at the level defined by the spatial resolution of the sensory analysis This high-fidelity spatial long-term memory may represent an elementary memory mechanism for precategoncal storage of visual features

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23

Zanesco, Anthony P., Brandon G. King, Chivon Powers, Rosanna De Meo, Kezia Wineberg, Katherine A. MacLean, and Clifford D. Saron. "Modulation of Event-related Potentials of Visual Discrimination by Meditation Training and Sustained Attention." Journal of Cognitive Neuroscience 31, no. 8 (August 2019): 1184–204. http://dx.doi.org/10.1162/jocn_a_01419.

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The ability to discriminate among goal-relevant stimuli tends to diminish when detections must be made continuously over time. Previously, we reported that intensive training in shamatha (focused-attention) meditation can improve perceptual discrimination of difficult-to-detect visual stimuli [MacLean, K. A., Ferrer, E., Aichele, S. R., Bridwell, D. A., Zanesco, A. P., Jacobs, T. L., et al. Intensive meditation training improves perceptual discrimination and sustained attention. Psychological Science, 21, 829–839, 2010]. Here we extend these findings to examine how discrimination difficulty and meditation training interact to modulate event-related potentials of attention and perceptual processing during vigilance. Training and wait-list participants completed a continuous performance task at the beginning, middle, and end of two 3-month meditation interventions. In the first intervention (Retreat 1), the continuous performance task target was adjusted across assessments to match training-related changes in participants' perceptual capacity. In the second intervention (Retreat 2), the target was held constant across training, irrespective of changes in discrimination capacity. No training effects were observed in Retreat 1, whereas Retreat 2 was associated with changes in the onset of early sensory signals and an attenuation of within-task decrements at early latencies. In addition, changes at later stimulus processing stages were directly correlated with improvements in perceptual threshold across the second intervention. Overall, these findings demonstrate that improvements in perceptual discrimination can modulate electrophysiological markers of perceptual processing and attentional control during sustained attention, but likely only under conditions where an individual's discrimination capacity is allowed to exceed the demand imposed by the difficulty of a visual target. These results contribute to basic understanding of the dependence of perceptual processing and attentional control to contextual demands and their susceptibility to directed mental training.

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24

Feldman, Jacob. "Mutual Information and Categorical Perception." Psychological Science 32, no. 8 (July 20, 2021): 1298–310. http://dx.doi.org/10.1177/0956797621996663.

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Categorical perception refers to the enhancement of perceptual sensitivity near category boundaries, generally along dimensions that are informative about category membership. However, it remains unclear exactly which dimensions are treated as informative and why. This article reports a series of experiments in which subjects were asked to learn statistically defined categories in a novel, unfamiliar 2D perceptual space of shapes. Perceptual discrimination was tested before and after category learning of various features in the space, each defined by its position and orientation relative to the maximally informative dimension. The results support a remarkably simple generalization: The magnitude of improvement in perceptual discrimination of each feature is proportional to the mutual information between the feature and the category variable. This finding suggests a rational basis for categorical perception in which the precision of perceptual discrimination is tuned to the statistical structure of the environment.

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25

Fine, I., and Robert A. Jacobs. "Perceptual learning for a pattern discrimination task." Vision Research 40, no. 23 (January 2000): 3209–30. http://dx.doi.org/10.1016/s0042-6989(00)00163-2.

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26

Price, N. S. C., and D. L. Prescott. "Adaptation to direction statistics modulates perceptual discrimination." Journal of Vision 12, no. 6 (June 22, 2012): 32. http://dx.doi.org/10.1167/12.6.32.

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27

DeLoss, D. J., and G. J. Andersen. "Aging and Perceptual Learning in Orientation Discrimination." Journal of Vision 11, no. 11 (September 23, 2011): 1023. http://dx.doi.org/10.1167/11.11.1023.

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28

Weick, Mario, Ana Guinote, and David Wilkinson. "Lack of power enhances visual perceptual discrimination." Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale 65, no. 3 (2011): 208–13. http://dx.doi.org/10.1037/a0024258.

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29

Guo, Jianfei, and Joo-Hyun Song. "Relation between action precision and perceptual discrimination." Journal of Vision 17, no. 10 (August 31, 2017): 463. http://dx.doi.org/10.1167/17.10.463.

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30

Camarillo, L., R. Luna, V. Nacher, and R. Romo. "Coding perceptual discrimination in the somatosensory thalamus." Proceedings of the National Academy of Sciences 109, no. 51 (December 3, 2012): 21093–98. http://dx.doi.org/10.1073/pnas.1219636110.

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31

Matthews, Nestor, Zili Liu, Bard J. Geesaman, and Ning Qian. "Perceptual learning on orientation and direction discrimination." Vision Research 39, no. 22 (November 1999): 3692–701. http://dx.doi.org/10.1016/s0042-6989(99)00069-3.

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32

Bränström, Richard, Mari-Anne Hedblad, Ingvar Krakau, and Henrik Ullén. "Laypersons' perceptual discrimination of pigmented skin lesions." Journal of the American Academy of Dermatology 46, no. 5 (May 2002): 667–73. http://dx.doi.org/10.1067/mjd.2002.120463.

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SCHWARTZ, AMY L., MICHAEL D. RABIN, and WILLIAM S. CAIN. "Perceptual Separability and Integrality in Odor Discrimination." Annals of the New York Academy of Sciences 510, no. 1 Olfaction and (November 1987): 595–96. http://dx.doi.org/10.1111/j.1749-6632.1987.tb43637.x.

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34

Atienza, Mercedes, Jose L. Cantero, and Robert Stickgold. "Posttraining Sleep Enhances Automaticity in Perceptual Discrimination." Journal of Cognitive Neuroscience 16, no. 1 (January 2004): 53–64. http://dx.doi.org/10.1162/089892904322755557.

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Perceptual learning can develop over extended periods, with slow, at times sleep-dependent, improvement seen several days after training. As a result, performance can become more automatic, that is, less dependent on voluntary attention. This study investigates whether the brain correlates of this enhancement of automaticity are sleep-dependent. Event-related potentials produced in response to complex auditory stimuli were recorded while subjects' attention was focused elsewhere. We report here that following training on an auditory discrimination task, performance continued to improve, without significant further training, for 72 hr. At the same time, several event-related potential components became evident 48–72 hr after training. Posttraining sleep deprivation prevented neither the continued performance improvement nor the slow development of cortical dynamics related to an enhanced familiarity with the task. However, those brain responses associated with the automatic shift of attention to unexpected stimuli failed to develop. Thus, in this auditory learning paradigm, posttraining sleep appears to reduce the voluntary attentional effort required for successful perceptual discrimination by facilitating the intrusion of a potentially meaningful stimulus into one's focus of attention for further evaluation.

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35

Daprati, Elena, Selina Wriessnegger, and Francesco Lacquaniti. "Knowledge of one’s kinematics improves perceptual discrimination." Consciousness and Cognition 16, no. 1 (March 2007): 178–88. http://dx.doi.org/10.1016/j.concog.2006.03.001.

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36

Karim, Ahmed A., Anne Schüler, Yiwen Li Hegner, Eva Friedel, and Ben Godde. "Facilitating Effect of 15-Hz Repetitive Transcranial Magnetic Stimulation on Tactile Perceptual Learning." Journal of Cognitive Neuroscience 18, no. 9 (September 2006): 1577–85. http://dx.doi.org/10.1162/jocn.2006.18.9.1577.

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Recent neuroimaging studies have revealed that tactile perceptual learning can lead to substantial reorganizational changes of the brain. We report here for the first time that combining high-frequency (15 Hz) repetitive transcranial magnetic stimulation (rTMS) over the primary somatosensory cortex (SI) with tactile discrimination training is capable of facilitating operant perceptual learning. Most notably, increasing the excitability of SI by 15-Hz rTMS improved perceptual learning in spatial, but not in temporal, discrimination tasks. These findings give causal support to recent correlative data obtained by functional magnetic resonance imaging studies indicating a differential role of SI in spatial and temporal discrimination learning. The introduced combination of rTMS and tactile discrimination training may provide new therapeutical potentials in facilitating neuropsychological rehabilitation of functional deficits after lesions of the somatosensory cortex.

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Smyrnis, Nikolaos, Asimakis Mantas, and Ioannis Evdokimidis. "“Motor Oblique Effect”: Perceptual Direction Discrimination and Pointing to Memorized Visual Targets Share the Same Preference for Cardinal Orientations." Journal of Neurophysiology 97, no. 2 (February 2007): 1068–77. http://dx.doi.org/10.1152/jn.00515.2006.

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In previous studies we observed a pattern of systematic directional errors when humans pointed to memorized visual target locations in two-dimensional (2-D) space. This directional error was also observed in the initial direction of slow movements toward visual targets or movements to kinesthetically defined targets in 2-D space. In this study we used a perceptual experiment where subjects decide whether an arrow points in the direction of a visual target in 2-D space and observed a systematic distortion in direction discrimination known as the “oblique effect.” More specifically, direction discrimination was better for cardinal directions than for oblique. We then used an equivalent measure of direction discrimination in a task where subjects pointed to memorized visual target locations and showed the presence of a motor oblique effect. We finally modeled the oblique effect in the perceptual and motor task using a quadratic function. The model successfully predicted the observed direction discrimination differences in both tasks and, furthermore, the parameter of the model that was related to the shape of the function was not different between the motor and the perceptual tasks. We conclude that a similarly distorted representation of target direction is present for memorized pointing movements and perceptual direction discrimination.

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38

Knill, David C., and Daniel Kersten. "Visuomotor Sensitivity to Visual Information About Surface Orientation." Journal of Neurophysiology 91, no. 3 (March 2004): 1350–66. http://dx.doi.org/10.1152/jn.00184.2003.

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We measured human visuomotor sensitivity to visual information about three-dimensional surface orientation by analyzing movements made to place an object on a slanted surface. We applied linear discriminant analysis to the kinematics of subjects' movements to surfaces with differing slants (angle away form the fronto-parallel) to derive visuomotor d′s for discriminating surfaces differing in slant by 5°. Subjects' visuomotor sensitivity to information about surface orientation was very high, with discrimination “thresholds” ranging from 2 to 3 degrees. In a first experiment, we found that subjects performed only slightly better using binocular cues alone than monocular texture cues and that they showed only weak evidence for combining the cues when both were available, suggesting that monocular cues can be just as effective in guiding motor behavior in depth as binocular cues. In a second experiment, we measured subjects' perceptual discrimination and visuomotor thresholds in equivalent stimulus conditions to decompose visuomotor sensitivity into perceptual and motor components. Subjects' visuomotor thresholds were found to be slightly greater than their perceptual thresholds for a range of memory delays, from 1 to 3 s. The data were consistent with a model in which perceptual noise increases with increasing delay between stimulus presentation and movement initiation, but motor noise remains constant. This result suggests that visuomotor and perceptual systems rely on the same visual estimates of surface slant for memory delays ranging from 1 to 3 s.

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YAN, Linlin, Zhe WANG, Yuanyuan LI, Ming ZHONG, Yuhao SUN, and Zhijun ZHANG. "Race Categorization and Perceptual Discrimination of Morphing Faces Are Modulated by Perceptual Adaptation." Acta Psychologica Sinica 47, no. 1 (2015): 1. http://dx.doi.org/10.3724/sp.j.1041.2015.00001.

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40

KILPATRICK, ALEXANDER J., RIKKE L. BUNDGAARD-NIELSEN, and BRETT J. BAKER. "Japanese co-occurrence restrictions influence second language perception." Applied Psycholinguistics 40, no. 2 (January 30, 2019): 585–611. http://dx.doi.org/10.1017/s0142716418000711.

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ABSTRACTMost current models of nonnative speech perception (e.g., extended perceptual assimilation model, PAM-L2, Best & Tyler, 2007; speech learning model, Flege, 1995; native language magnet model, Kuhl, 1993) base their predictions on the native/nonnative status of individual phonetic/phonological segments. This paper demonstrates that the phonotactic properties of Japanese influence the perception of natively contrasting consonants and suggests that phonotactic influence must be formally incorporated in these models. We first propose that by extending the perceptual categories outlined in PAM-L2 to incorporate sequences of sounds, we can account for the effects of differences in native and nonnative phonotactics on nonnative and cross-language segmental perception. In addition, we test predictions based on such an extension in two perceptual experiments. In Experiment 1, Japanese listeners categorized and rated vowel–consonant–vowel strings in combinations that either obeyed or violated Japanese phonotactics. The participants categorized phonotactically illegal strings to the perceptually nearest (legal) categories. In Experiment 2, participants discriminated the same strings in AXB discrimination tests. Our results show that Japanese listeners are more accurate and have faster response times when discriminating between legal strings than between legal and illegal strings. These findings expose serious shortcomings in currently accepted nonnative perception models, which offer no framework for the influence of native language phonotactics.

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41

Scott, Lisa S., Olivier Pascalis, and Charles A. Nelson. "A Domain-General Theory of the Development of Perceptual Discrimination." Current Directions in Psychological Science 16, no. 4 (August 2007): 197–201. http://dx.doi.org/10.1111/j.1467-8721.2007.00503.x.

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In this article, we posit a domain-general principle that may account for the improvement that is observed in several aspects of perceptual development over the first years of life. Development during this time frame is characterized by a process of perceptual narrowing, whereby the discrimination of perceptual information is broadly tuned at first and then declines to more selective levels with experience. This process appears to cut across both the visual and auditory modalities and may reflect the development of a common neural architecture.

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42

Elvin, Jaydene, Daniel Williams, Jason A. Shaw, Catherine T. Best, and Paola Escudero. "The Role of Acoustic Similarity and Non-Native Categorisation in Predicting Non-Native Discrimination: Brazilian Portuguese Vowels by English vs. Spanish Listeners." Languages 6, no. 1 (March 5, 2021): 44. http://dx.doi.org/10.3390/languages6010044.

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This study tests whether Australian English (AusE) and European Spanish (ES) listeners differ in their categorisation and discrimination of Brazilian Portuguese (BP) vowels. In particular, we investigate two theoretically relevant measures of vowel category overlap (acoustic vs. perceptual categorisation) as predictors of non-native discrimination difficulty. We also investigate whether the individual listener’s own native vowel productions predict non-native vowel perception better than group averages. The results showed comparable performance for AusE and ES participants in their perception of the BP vowels. In particular, discrimination patterns were largely dependent on contrast-specific learning scenarios, which were similar across AusE and ES. We also found that acoustic similarity between individuals’ own native productions and the BP stimuli were largely consistent with the participants’ patterns of non-native categorisation. Furthermore, the results indicated that both acoustic and perceptual overlap successfully predict discrimination performance. However, accuracy in discrimination was better explained by perceptual similarity for ES listeners and by acoustic similarity for AusE listeners. Interestingly, we also found that for ES listeners, the group averages explained discrimination accuracy better than predictions based on individual production data, but that the AusE group showed no difference.

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43

Tartaglia, E. M., L. Bamert, M. H. Herzog, and F. W. Mast. "Perceptual learning of motion discrimination by mental imagery." Journal of Vision 12, no. 6 (June 12, 2012): 14. http://dx.doi.org/10.1167/12.6.14.

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44

Geiger, G., T. Ezzat, and T. Poggio. "Explicit and implicit perceptual discrimination of videorealistic speech." Journal of Vision 3, no. 9 (March 18, 2010): 773. http://dx.doi.org/10.1167/3.9.773.

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45

Huang, X., H. Lu, Y. Zhou, and Z. Liu. "Perceptual learning in speed discrimination of radial motion." Journal of Vision 8, no. 6 (March 20, 2010): 1125. http://dx.doi.org/10.1167/8.6.1125.

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Givon, Moshe M., and Arieh Goldman. "Perceptual and preferential discrimination abilities in taste tests." Journal of Applied Psychology 72, no. 2 (1987): 301–6. http://dx.doi.org/10.1037/0021-9010.72.2.301.

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Sell, Gregory, Clara Suied, Mounya Elhilali, and Shihab Shamma. "Perceptual susceptibility to acoustic manipulations in speaker discrimination." Journal of the Acoustical Society of America 137, no. 2 (February 2015): 911–22. http://dx.doi.org/10.1121/1.4906826.

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Werker, Janet F. "Phonetic discrimination and perceptual reorganization in human infants." Infant Behavior and Development 9 (April 1986): 402. http://dx.doi.org/10.1016/s0163-6383(86)80408-8.

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Zhang, Tao, Lawrence L. Feth, and Ashok K. Krishnamurthy. "On the perceptual asymmetry in frequency modulation discrimination." Journal of the Acoustical Society of America 97, no. 5 (May 1995): 3273. http://dx.doi.org/10.1121/1.411613.

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Constantinides, Helena, and David R. Moore. "Perceptual and procedural learning in interaural cue discrimination." Journal of the Acoustical Society of America 115, no. 5 (May 2004): 2534. http://dx.doi.org/10.1121/1.4783459.

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