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  1. How the Size of Our Social Network Influences Our Semantic Skills.Shiri Lev-Ari - 2016 - Cognitive Science 40 (8):2050-2064.
    People differ in the size of their social network, and thus in the properties of the linguistic input they receive. This article examines whether differences in social network size influence individuals’ linguistic skills in their native language, focusing on global comprehension of evaluative language. Study 1 exploits the natural variation in social network size and shows that individuals with larger social networks are better at understanding the valence of restaurant reviews. Study 2 manipulated social network size by randomly assigning participants (...)
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  • Immediate lexical integration of novel word forms.Efthymia C. Kapnoula, Stephanie Packard, Prahlad Gupta & Bob McMurray - 2015 - Cognition 134:85-99.
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  • (1 other version)Perception of speech reflects optimal use of probabilistic speech cues.Meghan Clayards, Michael K. Tanenhaus, Richard N. Aslin & Robert A. Jacobs - 2008 - Cognition 108 (3):804-809.
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  • What makes words sound similar?Ulrike Hahn & Todd M. Bailey - 2005 - Cognition 97 (3):227-267.
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  • Two types of thought: Evidence from aphasia.Jules Davidoff - 2005 - Behavioral and Brain Sciences 28 (1):20-21.
    Evidence from aphasia is considered that leads to a distinction between abstract and concrete thought processes and hence for a distinction between rules and similarity. It is argued that perceptual classification is inherently a rule-following procedure and these rules are unable to be followed when a patient has difficulty with name comprehension and retrieval.
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  • Statistical Learning of Unfamiliar Sounds as Trajectories Through a Perceptual Similarity Space.Felix Hao Wang, Elizabeth A. Hutton & Jason D. Zevin - 2019 - Cognitive Science 43 (8):e12740.
    In typical statistical learning studies, researchers define sequences in terms of the probability of the next item in the sequence given the current item (or items), and they show that high probability sequences are treated as more familiar than low probability sequences. Existing accounts of these phenomena all assume that participants represent statistical regularities more or less as they are defined by the experimenters—as sequential probabilities of symbols in a string. Here we offer an alternative, or possibly supplementary, hypothesis. Specifically, (...)
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  • The rules versus similarity distinction.Emmanuel M. Pothos - 2005 - Behavioral and Brain Sciences 28 (1):1-14.
    The distinction between rules and similarity is central to our understanding of much of cognitive psychology. Two aspects of existing research have motivated the present work. First, in different cognitive psychology areas we typically see different conceptions of rules and similarity; for example, rules in language appear to be of a different kind compared to rules in categorization. Second, rules processes are typically modeled as separate from similarity ones; for example, in a learning experiment, rules and similarity influences would be (...)
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  • Statistical learning across passive listening adjusts perceptual weights of speech input dimensions.Alana J. Hodson, Barbara G. Shinn-Cunningham & Lori L. Holt - 2023 - Cognition 238 (C):105473.
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  • The Role of Categorical Perception and Acoustic Details in the Processing of Mandarin Tonal Alternations in Contexts: An Eye-Tracking Study.Jung-Yueh Tu & Yu-Fu Chien - 2022 - Frontiers in Psychology 12.
    This study investigated the perception of Mandarin tonal alternations in disyllabic words. In Mandarin, a low-dipping Tone3 is converted to a high-rising Tone2 when followed by another Tone3, known as third tone sandhi. Although previous studies showed statistically significant differences in F0 between a high-rising Sandhi-Tone3 and a Tone2, native Mandarin listeners failed to correctly categorize these two tones in perception tasks. The current study utilized the visual-world paradigm in eye-tracking to further examine whether acoustic details in lexical tone aid (...)
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  • Elucidating the influences of embodiment and conceptual metaphor on lexical and non-speech tone learning.Laura M. Morett, Jacob B. Feiler & Laura M. Getz - 2022 - Cognition 222 (C):105014.
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  • In Honor of Michael K. Tanenhaus for Receiving the 2018 Rumelhart Prize.John C. Trueswell - 2021 - Topics in Cognitive Science 13 (2):304-308.
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  • Individual Differences in Categorization Gradience As Predicted by Online Processing of Phonetic Cues During Spoken Word Recognition: Evidence From Eye Movements.Jinghua Ou, Alan C. L. Yu & Ming Xiang - 2021 - Cognitive Science 45 (3):e12948.
    Recent studies have documented substantial variability among typical listeners in how gradiently they categorize speech sounds, and this variability in categorization gradience may link to how listeners weight different cues in the incoming signal. The present study tested the relationship between categorization gradience and cue weighting across two sets of English contrasts, each varying orthogonally in two acoustic dimensions. Participants performed a four‐alternative forced‐choice identification task in a visual world paradigm while their eye movements were monitored. We found that (a) (...)
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  • Belief Shift or Only Facilitation: How Semantic Expectancy Affects Processing of Speech Degraded by Background Noise.Katherine M. Simeon, Klinton Bicknell & Tina M. Grieco-Calub - 2018 - Frontiers in Psychology 9.
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  • The influence of categories on perception: Explaining the perceptual magnet effect as optimal statistical inference.Naomi H. Feldman, Thomas L. Griffiths & James L. Morgan - 2009 - Psychological Review 116 (4):752-782.
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  • (1 other version)What Are You Waiting For? Real‐Time Integration of Cues for Fricatives Suggests Encapsulated Auditory Memory.Marcus E. Galle, Jamie Klein-Packard, Kayleen Schreiber & Bob McMurray - 2019 - Cognitive Science 43 (1):e12700.
    Speech unfolds over time, and the cues for even a single phoneme are rarely available simultaneously. Consequently, to recognize a single phoneme, listeners must integrate material over several hundred milliseconds. Prior work contrasts two accounts: (a) a memory buffer account in which listeners accumulate auditory information in memory and only access higher level representations (i.e., lexical representations) when sufficient information has arrived; and (b) an immediate integration scheme in which lexical representations can be partially activated on the basis of early (...)
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  • What information is necessary for speech categorization? Harnessing variability in the speech signal by integrating cues computed relative to expectations.Bob McMurray & Allard Jongman - 2011 - Psychological Review 118 (2):219-246.
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  • Shortlist B: A Bayesian model of continuous speech recognition.Dennis Norris & James M. McQueen - 2008 - Psychological Review 115 (2):357-395.
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  • Mechanisms and Representations of Language-Mediated Visual Attention.Falk Huettig, Ramesh Kumar Mishra & Christian N. L. Olivers - 2011 - Frontiers in Psychology 2.
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  • Statistical learning of syllable sequences as trajectories through a perceptual similarity space.Wendy Qi & Jason D. Zevin - 2024 - Cognition 244 (C):105689.
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  • Interpreting Pitch Accents in Online Comprehension: H* vs. L+H.Duane G. Watson, Michael K. Tanenhaus & Christine A. Gunlogson - 2008 - Cognitive Science 32 (7):1232-1244.
    Although the presence or absence of a pitch accent clearly can play an important role in signaling the discourse and information structure of an utterance, whether the form of an accent determines the type of information it conveys is more controversial. We used an eye‐tracking paradigm to investigate whether H*, which has been argued to signal new information, evokes different eye fixations than L+H*, which has been argued to signal the presence of contrast. Our results demonstrate that although listeners interpret (...)
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  • Incrementality and Prediction in Human Sentence Processing.Gerry T. M. Altmann & Jelena Mirković - 2009 - Cognitive Science 33 (4):583-609.
    We identify a number of principles with respect to prediction that, we argue, underpin adult language comprehension: (a) comprehension consists in realizing a mapping between the unfolding sentence and the event representation corresponding to the real‐world event being described; (b) the realization of this mapping manifests as the ability to predict both how the language will unfold, and how the real‐world event would unfold if it were being experienced directly; (c) concurrent linguistic and nonlinguistic inputs, and the prior internal states (...)
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  • Heeding the voice of experience: The role of talker variation in lexical access.Sarah C. Creel, Richard N. Aslin & Michael K. Tanenhaus - 2008 - Cognition 106 (2):633-664.
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  • Context Effects on Musical Chord Categorization: Different Forms of Top‐Down Feedback in Speech and Music?Bob McMurray, Joel L. Dennhardt & Andrew Struck-Marcell - 2008 - Cognitive Science 32 (5):893-920.
    A critical issue in perception is the manner in which top‐down expectancies guide lower level perceptual processes. In speech, a common paradigm is to construct continua ranging between two phonetic endpoints and to determine how higher level lexical context influences the perceived boundary. We applied this approach to music, presenting participants with major/minor triad continua after brief musical contexts. Two experiments yielded results that differed from classic results in speech perception. In speech, context generally expands the category of the expected (...)
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  • Infant directed speech and the development of speech perception: Enhancing development or an unintended consequence?Bob McMurray, Kristine A. Kovack-Lesh, Dresden Goodwin & William McEchron - 2013 - Cognition 129 (2):362-378.
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  • Perceptual Plasticity for Auditory Object Recognition.Shannon L. M. Heald, Stephen C. Van Hedger & Howard C. Nusbaum - 2017 - Frontiers in Psychology 8.
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  • Infants are sensitive to within-category variation in speech perception.Bob McMurray & Richard N. Aslin - 2005 - Cognition 95 (2):B15-B26.
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  • Cue integration with categories: Weighting acoustic cues in speech using unsupervised learning and distributional statistics.Joseph C. Toscano & Bob McMurray - 2010 - Cognitive Science 34 (3):434.
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  • (1 other version)Perception of speech reflects optimal use of probabilistic speech cues.Robert A. Jacobs Meghan Clayards, Michael K. Tanenhaus, Richard N. Aslin - 2008 - Cognition 108 (3):804.
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  • Effects of prosodically modulated sub-phonetic variation on lexical competition.Anne Pier Salverda, Delphine Dahan, Michael K. Tanenhaus, Katherine Crosswhite, Mikhail Masharov & Joyce McDonough - 2007 - Cognition 105 (2):466-476.
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  • (1 other version)What Are You Waiting For? Real‐Time Integration of Cues for Fricatives Suggests Encapsulated Auditory Memory.Marcus E. Galle, Jamie Klein-Packard, Kayleen Schreiber & Bob McMurray - 2019 - Cognitive Science 43 (1):e12700.
    Speech unfolds over time, and the cues for even a single phoneme are rarely available simultaneously. Consequently, to recognize a single phoneme, listeners must integrate material over several hundred milliseconds. Prior work contrasts two accounts: (a) a memory buffer account in which listeners accumulate auditory information in memory and only access higher level representations (i.e., lexical representations) when sufficient information has arrived; and (b) an immediate integration scheme in which lexical representations can be partially activated on the basis of early (...)
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  • Cognitive processes underlying spoken word recognition during soft speech.Kristi Hendrickson, Jessica Spinelli & Elizabeth Walker - 2020 - Cognition 198 (C):104196.
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