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1

Kanai, R., C. L. E. Paffen, and F. A. J. Verstraten. "Perceptual regularization after adaptation." Journal of Vision 6, no. 6 (March 24, 2010): 697. http://dx.doi.org/10.1167/6.6.697.

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2

Block, Ned, and Susanna Siegel. "Attention and perceptual adaptation." Behavioral and Brain Sciences 36, no. 3 (May 10, 2013): 205–6. http://dx.doi.org/10.1017/s0140525x12002245.

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AbstractClark advertises the predictive coding (PC) framework as applying to a wide range of phenomena, including attention. We argue that for many attentional phenomena, the predictive coding picture either makes false predictions, or else it offers no distinctive explanation of those phenomena, thereby reducing its explanatory power.
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3

McAuliffe, Michael. "Lexically biased perceptual adaptation." Journal of the Acoustical Society of America 134, no. 5 (November 2013): 4073. http://dx.doi.org/10.1121/1.4830874.

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4

Rwamo, Alice, and Constantin Ntiranyibagira. "Phonological and perceptual factor symbiosis in loanword adaptation." Revista Odisseia 5, no. 1 (December 7, 2019): 22–39. http://dx.doi.org/10.21680/1983-2435.2020v5n1id18827.

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This paper examines the two-way interaction of perceptual and production factors in the light of resolving French and English loan structures in Kirundi. The investigation is framed within the view that loanword adaptation results from attempts to match the non-native perception of the L2 input, within the confines of the L1 grammar. Neither a purely perceptual nor a purely grammatical account can explain the facts. Based on 239 French and 44 English corpora of loans, this study examines loanword adaptation at both the phonemic and the phonotactic levels. We prove how the constraint-ranking Optimality Theory (OT) can account for the phonological adaptations of loans but with limitations. The adaptation cannot be fully understood unless perceptual similarity and auditory factors are integrated in the grammar. This study enriches our understanding of the role of perceptual similarity and perceptual salience in phonology and their relationship to constraint ranking.
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5

Darainy, Mohammad, Shahabeddin Vahdat, and David J. Ostry. "Perceptual learning in sensorimotor adaptation." Journal of Neurophysiology 110, no. 9 (November 1, 2013): 2152–62. http://dx.doi.org/10.1152/jn.00439.2013.

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Motor learning often involves situations in which the somatosensory targets of movement are, at least initially, poorly defined, as for example, in learning to speak or learning the feel of a proper tennis serve. Under these conditions, motor skill acquisition presumably requires perceptual as well as motor learning. That is, it engages both the progressive shaping of sensory targets and associated changes in motor performance. In the present study, we test the idea that perceptual learning alters somatosensory function and in so doing produces changes to human motor performance and sensorimotor adaptation. Subjects in these experiments undergo perceptual training in which a robotic device passively moves the subject's arm on one of a set of fan-shaped trajectories. Subjects are required to indicate whether the robot moved the limb to the right or the left and feedback is provided. Over the course of training both the perceptual boundary and acuity are altered. The perceptual learning is observed to improve both the rate and extent of learning in a subsequent sensorimotor adaptation task and the benefits persist for at least 24 h. The improvement in the present studies varies systematically with changes in perceptual acuity and is obtained regardless of whether the perceptual boundary shift serves to systematically increase or decrease error on subsequent movements. The beneficial effects of perceptual training are found to be substantially dependent on reinforced decision-making in the sensory domain. Passive-movement training on its own is less able to alter subsequent learning in the motor system. Overall, this study suggests perceptual learning plays an integral role in motor learning.
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6

Rhodes, Gillian, Kim Louw, and Emma Evangelista. "Perceptual adaptation to facial asymmetries." Psychonomic Bulletin & Review 16, no. 3 (June 2009): 503–8. http://dx.doi.org/10.3758/pbr.16.3.503.

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7

Clifford, Colin W. G. "Perceptual adaptation: motion parallels orientation." Trends in Cognitive Sciences 6, no. 3 (March 2002): 136–43. http://dx.doi.org/10.1016/s1364-6613(00)01856-8.

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8

Ziemer, C., J. Plumert, J. Cremer, and J. Kearney. "Perceptual adaptation to environmental scale." Journal of Vision 7, no. 9 (March 19, 2010): 268. http://dx.doi.org/10.1167/7.9.268.

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9

Hsieh, Po-Jang, and Jaron T. Colas. "Perceptual fading without retinal adaptation." Journal of Experimental Psychology: Human Perception and Performance 38, no. 2 (2012): 267–71. http://dx.doi.org/10.1037/a0026963.

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10

Bottini, Roberto, Stefania Ferraro, Anna Nigri, Valeria Cuccarini, Maria Grazia Bruzzone, and Olivier Collignon. "Brain Regions Involved in Conceptual Retrieval in Sighted and Blind People." Journal of Cognitive Neuroscience 32, no. 6 (June 2020): 1009–25. http://dx.doi.org/10.1162/jocn_a_01538.

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If conceptual retrieval is partially based on the simulation of sensorimotor experience, people with a different sensorimotor experience, such as congenitally blind people, should retrieve concepts in a different way. However, studies investigating the neural basis of several conceptual domains (e.g., actions, objects, places) have shown a very limited impact of early visual deprivation. We approached this problem by investigating brain regions that encode the perceptual similarity of action and color concepts evoked by spoken words in sighted and congenitally blind people. At first, and in line with previous findings, a contrast between action and color concepts (independently of their perceptual similarity) revealed similar activations in sighted and blind people for action concepts and partially different activations for color concepts, but outside visual areas. On the other hand, adaptation analyses based on subjective ratings of perceptual similarity showed compelling differences across groups. Perceptually similar colors and actions induced adaptation in the posterior occipital cortex of sighted people only, overlapping with regions known to represent low-level visual features of those perceptual domains. Early-blind people instead showed a stronger adaptation for perceptually similar concepts in temporal regions, arguably indexing higher reliance on a lexical-semantic code to represent perceptual knowledge. Overall, our results show that visual deprivation does changes the neural bases of conceptual retrieval, but mostly at specific levels of representation supporting perceptual similarity discrimination, reconciling apparently contrasting findings in the field.
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11

Webster, Michael A., and Donald I. A. MacLeod. "Visual adaptation and face perception." Philosophical Transactions of the Royal Society B: Biological Sciences 366, no. 1571 (June 12, 2011): 1702–25. http://dx.doi.org/10.1098/rstb.2010.0360.

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The appearance of faces can be strongly affected by the characteristics of faces viewed previously. These perceptual after-effects reflect processes of sensory adaptation that are found throughout the visual system, but which have been considered only relatively recently in the context of higher level perceptual judgements. In this review, we explore the consequences of adaptation for human face perception, and the implications of adaptation for understanding the neural-coding schemes underlying the visual representation of faces. The properties of face after-effects suggest that they, in part, reflect response changes at high and possibly face-specific levels of visual processing. Yet, the form of the after-effects and the norm-based codes that they point to show many parallels with the adaptations and functional organization that are thought to underlie the encoding of perceptual attributes like colour. The nature and basis for human colour vision have been studied extensively, and we draw on ideas and principles that have been developed to account for norms and normalization in colour vision to consider potential similarities and differences in the representation and adaptation of faces.
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12

Borrie, Stephanie A., Kaitlin L. Lansford, and Tyson S. Barrett. "Generalized Adaptation to Dysarthric Speech." Journal of Speech, Language, and Hearing Research 60, no. 11 (November 9, 2017): 3110–17. http://dx.doi.org/10.1044/2017_jslhr-s-17-0127.

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Purpose Generalization of perceptual learning has received limited attention in listener adaptation studies with dysarthric speech. This study investigated whether adaptation to a talker with dysarthria could be predicted by the nature of the listener's prior familiarization experience, specifically similarity of perceptual features, and level of intelligibility. Method Following an intelligibility pretest involving a talker with ataxic dysarthria, 160 listeners were familiarized with 1 of 7 talkers with dysarthria—who differed from the test talker in terms of perceptual similarity (same, similar, dissimilar) and level of intelligibility (low, mid, high)—or a talker with no neurological impairment (control). Listeners then completed an intelligibility posttest on the test talker. Results All listeners benefited from familiarization with a talker with dysarthria; however, adaptation to the test talker was superior when the familiarization talker had similar perceptual features and reduced when the familiarization talker had low intelligibility. Conclusion Evidence for both generalization and specificity of learning highlights the differential value of listeners' prior experiences for adaptation to, and improved understanding of, a talker with dysarthria. These findings broaden our theoretical knowledge of adaptation to degraded speech, as well as the clinical application of training paradigms that exploit perceptual processes for therapeutic gain.
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13

Rhodes, Gillian, Tamara L. Watson, Linda Jeffery, and Colin W. G. Clifford. "Perceptual adaptation helps us identify faces." Vision Research 50, no. 10 (May 2010): 963–68. http://dx.doi.org/10.1016/j.visres.2010.03.003.

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14

Madelain, L., and A. Montagnini. "Saccadic adaptation induced by perceptual goal." Journal of Vision 12, no. 9 (August 10, 2012): 1239. http://dx.doi.org/10.1167/12.9.1239.

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15

Bradlow, Ann R. "Perceptual adaptation to foreign-accented English." Journal of the Acoustical Society of America 126, no. 4 (2009): 2283. http://dx.doi.org/10.1121/1.3249355.

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16

Pinchuk-Yacobi, Noga, and Dov Sagi. "Orientation-selective adaptation improves perceptual grouping." Journal of Vision 19, no. 9 (August 19, 2019): 6. http://dx.doi.org/10.1167/19.9.6.

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17

Müller, Kai-Markus, Frieder Schillinger, David H. Do, and David A. Leopold. "Dissociable Perceptual Effects of Visual Adaptation." PLoS ONE 4, no. 7 (July 10, 2009): e6183. http://dx.doi.org/10.1371/journal.pone.0006183.

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18

Baese‐Berk, Melissa. "Perceptual adaptation to foreign accented speech." Journal of the Acoustical Society of America 125, no. 4 (April 2009): 2765. http://dx.doi.org/10.1121/1.4784691.

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19

Malkoc, G., W. Alexander, and M. A. Webster. "Color and adaptation in perceptual grouping." Journal of Vision 1, no. 3 (March 15, 2010): 367. http://dx.doi.org/10.1167/1.3.367.

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20

Rajimehr, R. "Perceptual modulation of orientation-selective adaptation." Journal of Vision 4, no. 8 (August 1, 2004): 291. http://dx.doi.org/10.1167/4.8.291.

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21

Bradlow, Ann R., and Tessa Bent. "Perceptual adaptation to non-native speech." Cognition 106, no. 2 (February 2008): 707–29. http://dx.doi.org/10.1016/j.cognition.2007.04.005.

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22

Dossey, Ellen. "Perceptual adaptation to regional vowel variation." Journal of the Acoustical Society of America 146, no. 4 (October 2019): 3051. http://dx.doi.org/10.1121/1.5137573.

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23

Maymone, Mayra B. C., Melissa Laughter, Jeffrey Dover, and Neelam A. Vashi. "The malleability of beauty: perceptual adaptation." Clinics in Dermatology 37, no. 5 (September 2019): 592–96. http://dx.doi.org/10.1016/j.clindermatol.2019.05.002.

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24

Leech, Kristan A., Kevin A. Day, Ryan T. Roemmich, and Amy J. Bastian. "Movement and perception recalibrate differently across multiple days of locomotor learning." Journal of Neurophysiology 120, no. 4 (October 1, 2018): 2130–37. http://dx.doi.org/10.1152/jn.00355.2018.

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Learning a new movement through error-based adaptation leads to recalibration of movement and altered perception of that movement. Although presumed to be closely related, the relationship between adaptation-based motor and perceptual changes is not well understood. Here we investigated the changes in motor behavior and leg speed perception over 5 days of split-belt treadmill adaptation. We specifically wanted to know if changes in the perceptual domain would demonstrate savings-like behavior (i.e., less recalibration with more practice) and if these changes would parallel the savings observed in the motor domain. We found that the recalibration of leg speed perception decreased across days of training, indicating savings-like behavior in this domain. However, we observed that the magnitude of savings across days was different between motor and perceptual domains. These findings suggest a degree of independence between the motor and perceptual processes that occur with locomotor adaptation. NEW & NOTEWORTHY Error-based adaptation learning drives changes in movement and perception of movement. Are these changes across domains linked or simply coincidental? Here, we studied changes in movement and perception across 5 days of repeated locomotor adaptation. Savings-like behavior in the motor and perceptual domains developed with different magnitudes and over different timescales, leading us to conclude that motor and perceptual processes operate at least somewhat independently during locomotor adaptation.
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25

Lansford, Kaitlin L., Stephanie A. Borrie, and Tyson S. Barrett. "Regularity Matters: Unpredictable Speech Degradation Inhibits Adaptation to Dysarthric Speech." Journal of Speech, Language, and Hearing Research 62, no. 12 (December 18, 2019): 4282–90. http://dx.doi.org/10.1044/2019_jslhr-19-00055.

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Purpose Listener-targeted perceptual training paradigms, which leverage the mechanism of perceptual learning, show strong promise for improving intelligibility in dysarthria, offsetting the communicative burden from the speaker onto the listener. Theoretical models of perceptual learning underscore the importance of acoustic regularity (i.e., signal predictability) for listener adaptation to degraded speech. The purpose of the current investigation was to evaluate intelligibility outcomes following perceptual training with hyperkinetic dysarthria, a subtype characterized by reduced signal predictability. Method Forty listeners completed the standard 3-phase perceptual training protocol (pretest, training, and posttest) with 1 of 2 talkers with hyperkinetic dysarthria. Perceptual data were compared to a historical data set for 1 other talker with hyperkinetic dysarthria to examine the effect of perceptual training on intelligibility. Results When controlling for pretest intelligibility, regression results suggest listeners of the 2 novel talkers with hyperkinetic dysarthria performed comparably to the listeners of the original talker on the posttest following training. Furthermore, differences between pretest and posttest intelligibility failed to reach clinical significance for all 3 talkers and statistical significance for 2 of the 3. Conclusion The current findings are consistent with theoretical models of perceptual learning and suggest that listener adaptation to degraded speech may be negligible for talkers with dysarthria whose speech is marked by reduced signal predictability.
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26

Dromey, Christopher, Elise Hunter, and Shawn L. Nissen. "Speech Adaptation to Kinematic Recording Sensors: Perceptual and Acoustic Findings." Journal of Speech, Language, and Hearing Research 61, no. 3 (March 15, 2018): 593–603. http://dx.doi.org/10.1044/2017_jslhr-s-17-0169.

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Purpose This study used perceptual and acoustic measures to examine the time course of speech adaptation after the attachment of electromagnetic sensor coils to the tongue, lips, and jaw. Method Twenty native English speakers read aloud stimulus sentences before the attachment of the sensors, immediately after attachment, and again 5, 10, 15, and 20 min later. They read aloud continuously between recordings to encourage adaptation. Sentence recordings were perceptually evaluated by 20 native English listeners, who rated 150 stimuli (which included 31 samples that were repeated to assess rater reliability) using a visual analog scale with the end points labeled as “precise” and “imprecise.” Acoustic analysis began by segmenting and measuring the duration of the fricatives /s/ and /ʃ/ as well as the whole sentence. The spectral center of gravity and spectral standard deviation of the 2 fricatives were measured using Praat. These phonetic targets were selected because the standard placement of sensor coils on the lingual surface was anticipated to interfere with normal fricative production, causing them to become distorted. Results Perceptual ratings revealed a decrease in speech precision after sensor attachment and evidence of adaptation over time; there was little perceptual change beyond the 10-min recording. The spectral center of gravity for /s/ decreased, and the spectral standard deviation for /ʃ/ increased after sensor attachment, but the acoustic measures showed no evidence of adaptation over time. Conclusion The findings suggest that 10 min may be sufficient time to allow speakers to adapt before experimental data collection with Northern Digital Instruments Wave electromagnetic sensors.
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27

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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28

Gekas, Nikos, Kyle McDermott, and Pascal Mamassian. "Perceptual effects of adaptation over multiple timescales." Journal of Vision 17, no. 10 (August 31, 2017): 489. http://dx.doi.org/10.1167/17.10.489.

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Schutz, A. C., D. Kerzel, and D. Souto. "Saccadic adaptation induced by a perceptual task." Journal of Vision 14, no. 5 (May 5, 2014): 4. http://dx.doi.org/10.1167/14.5.4.

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30

Wei, Xue-Xin, Pedro Ortega, and Alan Stocker. "Perceptual adaptation: Getting ready for the future." Journal of Vision 15, no. 12 (September 1, 2015): 388. http://dx.doi.org/10.1167/15.12.388.

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31

Ng, M., G. Boynton, and I. Fine. "Face adaptation does not improve perceptual salience." Journal of Vision 7, no. 9 (March 18, 2010): 11. http://dx.doi.org/10.1167/7.9.11.

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32

Webster, Michael A., and Deanne Leonard. "Adaptation and perceptual norms in color vision." Journal of the Optical Society of America A 25, no. 11 (October 23, 2008): 2817. http://dx.doi.org/10.1364/josaa.25.002817.

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33

Schutz, A. C., D. Kerzel, and D. Souto. "Saccadic adaptation induced by a perceptual task." Journal of Vision 13, no. 9 (July 25, 2013): 111. http://dx.doi.org/10.1167/13.9.111.

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34

Winkler, Christopher, and Gillian Rhodes. "Perceptual adaptation affects attractiveness of female bodies." British Journal of Psychology 96, no. 2 (May 2005): 141–54. http://dx.doi.org/10.1348/000712605x36343.

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35

Schuerman, William L., Srikantan Nagarajan, James M. McQueen, and John Houde. "Sensorimotor adaptation affects perceptual compensation for coarticulation." Journal of the Acoustical Society of America 141, no. 4 (April 2017): 2693–704. http://dx.doi.org/10.1121/1.4979791.

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36

Bertamini, Marco. "Representational momentum, internalized dynamics, and perceptual adaptation." Visual Cognition 9, no. 1-2 (February 2002): 195–216. http://dx.doi.org/10.1080/13506280143000395.

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37

Tong, Minglei, Zhouye Gu, Nam Ling, and Junjie Yang. "Human centered perceptual adaptation for video coding." Multidimensional Systems and Signal Processing 27, no. 3 (July 22, 2015): 785–99. http://dx.doi.org/10.1007/s11045-015-0347-2.

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38

Lee, H. A., and S. H. Lee. "Linking perceptual motion adaptation with neural adaptation in human visual cortex." Journal of Vision 7, no. 9 (March 23, 2010): 739. http://dx.doi.org/10.1167/7.9.739.

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39

Karaminis, Themelis, Marco Turi, Louise Neil, Nicholas A. Badcock, David Burr, and Elizabeth Pellicano. "Atypicalities in Perceptual Adaptation in Autism Do Not Extend to Perceptual Causality." PLOS ONE 10, no. 3 (March 16, 2015): e0120439. http://dx.doi.org/10.1371/journal.pone.0120439.

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40

Bruggeman, Laurence, and Anne Cutler. "No L1 privilege in talker adaptation." Bilingualism: Language and Cognition 23, no. 3 (October 30, 2019): 681–93. http://dx.doi.org/10.1017/s1366728919000646.

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AbstractAs a rule, listening is easier in first (L1) than second languages (L2); difficult L2 listening can challenge even highly proficient users. We here examine one particular listening function, adaptation to novel talkers, in such a high-proficiency population: Dutch emigrants to Australia, predominantly using English outside the family, but all also retaining L1 proficiency. Using lexically-guided perceptual learning (Norris, McQueen & Cutler, 2003), we investigated these listeners’ adaptation to an ambiguous speech sound, in parallel experiments in both their L1 and their L2. A control study established that perceptual learning outcomes were unaffected by the procedural measures required for this double comparison. The emigrants showed equivalent proficiency in tests in both languages, robust perceptual adaptation in their L2, English, but no adaptation in L1. We propose that adaptation to novel talkers is a language-specific skill requiring regular novel practice; a limited set of known (family) interlocutors cannot meet this requirement.
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41

Rey, Amandine Eve, Benoit Riou, and Rémy Versace. "Demonstration of an Ebbinghaus Illusion at a Memory Level." Experimental Psychology 61, no. 5 (May 15, 2014): 378–84. http://dx.doi.org/10.1027/1618-3169/a000258.

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Based on recent behavioral and neuroimaging data suggesting that memory and perception are partially based on the same sensorimotor system, the theoretical aim of the present study was to show that it is difficult to dissociate memory mechanisms from perceptual mechanisms other than on the basis of the presence (perceptual processing) or absence (memory processing) of the characteristics of the objects involved in the processing. In line with this assumption, two experiments using an adaptation of the Ebbinghaus illusion paradigm revealed similar effects irrespective of whether the size difference between the inner circles and the surrounding circles was manipulated perceptually (the size difference was perceptually present, Experiment 1) or merely reactivated in memory (the difference was perceptually absent, Experiment 2).
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42

Korolkova, O. A. "The effect of perceptual adaptation to dynamic facial expressions." Experimental Psychology (Russia) 10, no. 1 (2017): 67–88. http://dx.doi.org/10.17759/exppsy.2017100106.

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We present three experiments investigating the perceptual adaptation to dynamic facial emotional expressions. Dynamic expressions of six basic emotions were obtained by video recording of a poser’s face. In Experiment 1 participants (n=20) evaluated the intensity of 6 emotions, neutral state, genuineness and naturalness of dynamic expressions. The validated stimuli were further used as adaptors in Experiments 2 and 3 aimed at exploring the structure of facial expressions perceptual space by adaptation effects. In Experiment 2 participants (n=16) categorized neutral/emotion morphs after adaptation to dynamic expressions. In Experiment 3 (n=26) the task of the first stage was to categorize static frames derived from video records of the poser. Next individual psychometric functions were fitted for each participant and each emotion, to find the frame with emotion recognized correctly in 50% trials. These latter images were presented on the second stage in adaptation experiment, with dynamic video records as adaptors. Based on the three experiments, we found that facial expressions of happiness and sadness are perceived as opponent emotions and mutually facilitate the recognition of each other, whereas disgust and anger, and fear and surprise are perceptually similar and reduce the recognition accuracy of each other. We describe the categorical fields of dynamic facial expressions and of static images of initial phases of expression development. The obtained results suggest that dimensional and categorical approaches to perception of emotions are not mutually exclusive and probably describe different stages of face information processing. The study was supported by the Russian Foundation for Basic Research, project № 15-36-01281 “Structure of dynamic facial expressions perception”.
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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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44

Ditye, Thomas, Amir Homayoun Javadi, Claus-Christian Carbon, and Vincent Walsh. "Sleep facilitates long-term face adaptation." Proceedings of the Royal Society B: Biological Sciences 280, no. 1769 (October 22, 2013): 20131698. http://dx.doi.org/10.1098/rspb.2013.1698.

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Adaptation is an automatic neural mechanism supporting the optimization of visual processing on the basis of previous experiences. While the short-term effects of adaptation on behaviour and physiology have been studied extensively, perceptual long-term changes associated with adaptation are still poorly understood. Here, we show that the integration of adaptation-dependent long-term shifts in neural function is facilitated by sleep. Perceptual shifts induced by adaptation to a distorted image of a famous person were larger in a group of participants who had slept (experiment 1) or merely napped for 90 min (experiment 2) during the interval between adaptation and test compared with controls who stayed awake. Participants' individual rapid eye movement sleep duration predicted the size of post-sleep behavioural adaptation effects. Our data suggest that sleep prevented decay of adaptation in a way that is qualitatively different from the effects of reduced visual interference known as ‘storage’. In the light of the well-established link between sleep and memory consolidation, our findings link the perceptual mechanisms of sensory adaptation—which are usually not considered to play a relevant role in mnemonic processes—with learning and memory, and at the same time reveal a new function of sleep in cognition.
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45

Campos, Emilio C., Costantino Schiavi, Roberto Bolzani, and Carlo Cipolli. "Binocular Vertical Perceptual Adaptation in Essential Infantile Esotropia." Perceptual and Motor Skills 87, no. 3_suppl (December 1998): 1211–17. http://dx.doi.org/10.2466/pms.1998.87.3f.1211.

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46

Censor, Nitzan, Avi Karni, and Dov Sagi. "A link between perceptual learning, adaptation and sleep." Vision Research 46, no. 23 (November 2006): 4071–74. http://dx.doi.org/10.1016/j.visres.2006.07.022.

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47

Bent, Tessa, Jeremy L. Loebach, Lawrence Phillips, and David B. Pisoni. "Perceptual adaptation to sinewave-vocoded speech across languages." Journal of Experimental Psychology: Human Perception and Performance 37, no. 5 (2011): 1607–16. http://dx.doi.org/10.1037/a0024281.

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48

McDermott, K., and P. Mamassian. "A unifying mechanism underlying adaptation and perceptual learning." Journal of Vision 14, no. 10 (August 22, 2014): 402. http://dx.doi.org/10.1167/14.10.402.

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49

Azadi, R., and M. Harwood. "Contextual saccade adaptation can induce contextual perceptual effects." Journal of Vision 14, no. 10 (August 22, 2014): 739. http://dx.doi.org/10.1167/14.10.739.

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50

Nygaard, Lynne C. "Perceptual adaptation to talker‐specific characteristics of speech." Journal of the Acoustical Society of America 106, no. 4 (October 1999): 2295. http://dx.doi.org/10.1121/1.427856.

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