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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 Page: 1 2 3 4 5...7 Hits 1 – 20 of 131 1 Cognitive Science Honors the Memory of Jeffrey Elman Aslin, Richard N; Levy, Roger P In: MIT Press (2021) BASE Show details 2 Synesthetes perseverate in implicit learning: Evidence from a non-stationary statistical learning task Bankieris, Kaitlyn R; Qian, Ting; Aslin, Richard N. - 2018 BASE Show details 3 Nature and origins of the lexicon in 6-mo-olds. Bergelson, Elika; Aslin, Richard N. - : Proceedings of the National Academy of Sciences, 2017 BASE Show details 4 Nature and origins of the lexicon in 6-mo-olds Bergelson, Elika; Aslin, Richard N.. - : National Academy of Sciences, 2017 BASE Show details 5 The effect of Zipfian frequency variations on category formation in adult artificial language learning Schuler, Kathryn D.; Reeder, Patricia A.; Newport, Elissa L.. - 2017 BASE Show details 6 Indexical and linguistic processing by 12-month-olds : discrimination of speaker, accent and vowel differences Mulak, Karen E. (R18007); Bonn, Cory D.; Chladkova, Katerina. - : U.S., PLoS, 2017 BASE Show details 7 Learning and processing of perceptual confusability and the mapping of form to meaning Aslin, Richard N.; Tanenhaus, Michael K.; Merickel, Jennifer. - : University of Rochester, 2017 BASE Show details 8 Sampling over Nonuniform Distributions: A Neural Efficiency Account of the Primacy Effect in Statistical Learning Karuza, Elisabeth A.; Li, Ping; Weiss, Daniel J.. - 2016 BASE Show details 9 Statistical learning: A powerful mechanism that operates by mere exposure Aslin, Richard N.. - 2016 BASE Show details 10 Is synesthesia more than unusual associations? : examining cue combination and various forms of learning in synesthetes. Bankieris, Kaitlyn Rose; Aslin, Richard N.. - : University of Rochester, 2016 BASE Show details 11 Indexical and linguistic processing in infancy : discrimination of speaker, accent and vowel differences Escudero, Paola (R16636); Bonn, Cory D.; Aslin, Richard N.. - : U.K., University of Glasgow, 2015 BASE Show details 12 Learning across space, time, and input modality : towards an integrative, domain-general account of the neural substrates underlying visual and auditory statistical learning Karuza, Elisabeth A.; Newport, Elissa L.; Aslin, Richard N.. - : University of Rochester., 2015 Abstract: Thesis (Ph. D.)--University of Rochester. Department of Brain and Cognitive Sciences, 2014. ; In the present work, we detail a set of experiments aimed at elucidating the neural mechanisms underpinning statistical learning across space, time, and input modality. Specifically, we have employed functional magnetic resonance imaging (fMRI) to test directly the hypothesis that distributional learning recruits a common set of neural substrates, regardless of the domain of the structure to be acquired. In experiment 1, we made use of an intermittent testing design in order to monitor changes in learning over time during a word segmentation task. By relating fluctuations in behavioral performance with differences in the magnitude of neural response across exposure runs, we demonstrated the involvement of a fronto-subcortical network of regions supporting statistical learning, with peak activation in the left inferior frontal gyrus. In experiment 2, we investigated the brain basis of learning when we shifted not only the modality of the input, but also its spatiotemporal properties. In contrast to the sequentially-ordered segmentation task in the previous study, experiment 2 sought to uncover the regions recruited during the acquisition of simultaneously-presented visuospatial patterns. Again capitalizing on inter and intra-subject variability in behavior, we revealed involvement of a parallel fronto-subcortical circuit that additionally encompassed bilateral amygdala. A further connectivity analysis using seeds within this network made clear a striking pattern: for each univariate activation peak, functional coupling was stronger in the first exposure run relative to the last exposure run. Finally, experiment 3 combined sequential learning in the auditory and visual modalities. We exposed participants to one of two carefully matched conditions. In the auditory condition, they completed a word segmentation task similar to the one described in experiment 1. In the visual condition, participants were exposed to an identical language, but one in which each syllable was replaced with a shape. Intermittent test scores showed behavioral performance that was slower to reach above-chance levels and less robust than in the segmentation task of the first study. Neuroimaging analyses revealed hippocampal, not fronto-subcortical, involvement correlated with changes in performance, and we discussed this finding in light of crucial differences between the rates of learning in experiments 1 and 3. Similar to the results of experiment 2, a subsequent functional connectivity analysis suggested greater interregional coherence in the earliest phases of learning. Linking together results from the three experiments, we propose a two-part mechanism to the neural basis of statistical learning. We posit that the brain, when confronted with structured stimuli, immediately engages widespread network of frontal, subcortical, and hippocampal regions. Over time, this network narrows, and the substrates best suited to perform the computations required of task at hand assume the processing burden. With influence from well-known proposals of the computational architecture underlying learning in the brain (e.g., Atallah, Frank, & O’Reilly, 2004; McClelland, McNaughton, & O’Reilly, 1995), we suggest that prefrontal cortex and basal ganglia form a complementary circuit best suited for the maintenance and updating of internal representations, while medial temporal regions are best suited for calculating the rapid element-to-element associations crucial to the earliest stages of a statistical learning task. Keyword: Basal ganglia; fMRI; functional connectivity; hippocampus; IFG; Statistical learning URL: http://hdl.handle.net/1802/28854 BASE Hide details 13 Infants' goal anticipation during failed and successful reaching actions Brandone, Amanda C.; Horwitz, Suzanne R.; Aslin, Richard N.. - : Routledge & Kegan Paul, 2014. : Wiley Periodicals, Inc., 2014 BASE Show details 14 Phonetic Category Learning and Its Influence on Speech Production Aslin, Richard N.. - 2014 BASE Show details 15 Rational perspectives on the role of stimulus order in human cognition Qian, Ting (1986 - ); Aslin, Richard N.. - : University of Rochester, 2014 BASE Show details 16 Rational snacking: Young children’s decision-making on the marshmallow task is moderated by beliefs about environmental reliability Kidd, Celeste; Palmeri, Holly; Aslin, Richard N. In: Cognition. - Amsterdam [u.a] : Elsevier 126 (2013) 1, 109-114 OLC Linguistik Show details 17 The neural correlates of statistical learning in a word segmentation task: An fMRI study Karuza, Elisabeth A.; Newport, Elissa L.; Aslin, Richard N.... In: Brain & language. - Orlando, Fla. [u.a.] : Elsevier 127 (2013) 1, 46-54 OLC Linguistik Show details 18 Reading and Writing Systems: Conveying and Archiving Language Aslin, Richard N. In: Language learning and development. - Philadelphia, Pa. : Taylor & Francis 9 (2013) 4, 293-295 OLC Linguistik Show details 19 The neural correlates of statistical learning in a word segmentation task: An fMRI study Karuza, Elisabeth A.; Newport, Elissa L.; Aslin, Richard N.... In: ISSN: 0093-934X ; Brain and Language, Vol. 127, No 1 (2013) pp. 46-54 (2013) BASE Show details 20 Infants’ goal anticipation during failed and successful reaching actions Brandone, Amanda C.; Horwitz, Suzanne R.; Aslin, Richard N.. - 2013 BASE Show details Page: 1 2 3 4 5...7

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