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Cognitive Science Honors the Memory of Jeffrey Elman
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In: MIT Press (2021)
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Synesthetes perseverate in implicit learning: Evidence from a non-stationary statistical learning task
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The effect of Zipfian frequency variations on category formation in adult artificial language learning
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Indexical and linguistic processing by 12-month-olds : discrimination of speaker, accent and vowel differences
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Learning and processing of perceptual confusability and the mapping of form to meaning
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Sampling over Nonuniform Distributions: A Neural Efficiency Account of the Primacy Effect in Statistical Learning
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Statistical learning: A powerful mechanism that operates by mere exposure
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Is synesthesia more than unusual associations? : examining cue combination and various forms of learning in synesthetes.
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Indexical and linguistic processing in infancy : discrimination of speaker, accent and vowel differences
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Learning across space, time, and input modality : towards an integrative, domain-general account of the neural substrates underlying visual and auditory statistical learning
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Infants' goal anticipation during failed and successful reaching actions
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Phonetic Category Learning and Its Influence on Speech Production
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Rational perspectives on the role of stimulus order in human cognition
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Abstract:
Thesis (Ph. D.)--University of Rochester. Dept. of Brain and Cognitive Sciences, 2014. ; Minimizing unwanted order effects is one of the most basic design strategies in studies of human behavior. While this practice provides the necessary simplification and control for laboratory studies, it has led to the view that sensitivity to stimulus order is a “bug” in human cognition, due to either constraints on cognitive resources or misconceptions about probability axioms. In this dissertation, I explore the possibility of adopting a rational perspective on the role of stimulus order – instead of being regarded as an extraneous variable, stimulus order may serve as an important statistical cue for inferring the true theory that accounts for a task environment. I present both computational and behavioral studies demonstrating that such a perspective not only applies to scenarios where the sequential order of stimuli is intuitively central to the task of interest, but also to other situations where stimulus order is a seemingly inconsequential factor. Overall, the current studies suggest that the effects of stimulus order on human cognition need not be interpreted exclusively via accounts focusing on how humans process information. Rather, certain aspects of human behavior can be understood as the result of inferring hypotheses that explain the order of stimuli in the input.
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Keyword:
Bayesian modeling; Computational modeling; Language acquisition; Learning; Stimulus order
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URL: http://hdl.handle.net/1802/28793
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The neural correlates of statistical learning in a word segmentation task: An fMRI study
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In: ISSN: 0093-934X ; Brain and Language, Vol. 127, No 1 (2013) pp. 46-54 (2013)
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20 |
Infants’ goal anticipation during failed and successful reaching actions
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