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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference Bergmann, Christina; Nave, Karli M; Seidl, Amanda. - : SAGE Publications, 2021 BASE Show details 2 A New Proposal for Phoneme Acquisition: Computing Speaker-Specific Distribution Choi, Mihye; Shukla, Mohinish In: Brain Sci (2021) BASE Show details 3 Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference Frank, Michael,; Alcock, Katherine Jane; Arias-Trejo, Natalia... In: ISSN: 2515-2459 ; EISSN: 2515-2467 ; Advances in Methods and Practices in Psychological Science ; https://hal-univ-rennes1.archives-ouvertes.fr/hal-02509817 ; Advances in Methods and Practices in Psychological Science, [Thousand Oaks]: [SAGE Publications], 2020, 3 (1), pp.24-52. ⟨10.1177/2515245919900809⟩ (2020) BASE Show details 4 SMART-T: A system for novel fully automated anticipatory eye-tracking paradigms Shukla, Mohinish; Wen, Johnny; White, Katherine S.; Aslin, Richard N.. - 2011 Abstract: Anticipatory eye-movements (AEMs) are a natural and implicit measure of cognitive processing, and have been successfully used to document important cognitive capacities like learning, categorization and generalization, especially in infancy (McMurray & Aslin, 2004). Here, we describe an improved AEM paradigm to automatically assess on-line learning on a trial-by-trial basis, by analyzing eye-gaze data in each inter-trial interval of a training phase. Different measures of learning can be evaluated simultaneously. We describe the implementation of a system for designing and running a variety of such AEM paradigms. Additionally, this system is capable of a wider variety of gaze-contingent paradigms, as well as implementations of standard non-contingent paradigms. Our system, Smart-T (System for Monitoring Anticipations in Real Time with the Tobii), is a set of Matlab scripts with a graphical front-end, written using the Psychtoolbox. The system gathers eye gaze data using the commercially available Tobii eye trackers via a Matlab module, Talk2Tobii. We report a pilot study showing that Smart-T can detect 6-month-old infants’ learning of simple predictive patterns involving the disappearance and re-appearance of multimodal stimuli. Keyword: Article URL: https://doi.org/10.3758/s13428-010-0056-6 http://www.ncbi.nlm.nih.gov/pubmed/21327871 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4593507/ BASE Hide details 5 Prosody guides the rapid mapping of auditory word forms onto visual objects in 6-mo-old infants Shukla, Mohinish; White, Katherine S.; Aslin, Richard N.. - : National Academy of Sciences, 2011 BASE Show details 6 An interaction between prosody and statistics in the segmentation of fluent speech Shukla, Mohinish; Nespor, Marina; Mehler, Jacques In: Cognitive psychology. - Amsterdam : Elsevier 54 (2007) 1, 1-32 BLLDB Show details 7 An interaction between prosody and statistics in the segmentation of fluent speech Mehler, Jacques; Shukla, Mohinish; Nespor, Marina In: Mohinish Shukla (2007) BASE Show details 8 Prosodic constraints on statistical strategies in segmenting fluent speech Shukla, Mohinish. - : SISSA, 2006 BASE Show details

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