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Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts
(Perspectives on Psychological Science, 2021)
Statistical-learning (SL) theory offers an experience-based account of typical and atypical spoken and written language
acquisition. Recent work has provided initial support for this view, tying individual differences in ...
Development of the visual white matter pathways mediates development of electrophysiological responses in visual cortex
(Human Brain Mapping, 2021)
The latency of neural responses in the visual cortex changes systematically across
the lifespan. Here, we test the hypothesis that development of visual white matter
pathways mediates maturational changes in the latency ...
Listener expectations and the perceptual accommodation of talker variability: A pre-registered replication
(Attention, Perception, & Psychophysics, 2021)
Researchers have hypothesized that in order to accommodate variability in how talkers produce their speech sounds, listeners
must perform a process of talker normalization. Consistent with this proposal, several studies ...
Changes in the Sensitivity to Language-Specific Orthographic Patterns With Age
(Frontiers in Psychology, 2020)
How do bilingual readers of languages that have similar scripts identify a language
switch? Recent behavioral and electroencephalographic results suggest that they rely
on orthotactic cues to recognize the language of ...
Integrating statistical learning into cognitive science
(Journal of Memory and Language, 2020)
Over the last two decades statistical learning (SL) has evolved into a key explanatory mechanism underlying the
incidental learning of regularities across different domains of cognition, such as language, visual and ...
Measuring the cortical tracking of speech with optically-pumped magnetometers
(NeuroImage, 2021)
During continuous speech listening, brain activity tracks speech rhythmicity at frequencies matching with the repetition rate of phrases (0.2–1.5 Hz), words (2–4 Hz) and syllables (4–8 Hz). Here, we evaluated the applica- ...
rt-me-fMRI: a task and resting state dataset for real-time, multi-echo fMRI methods development and validation
(F1000Research, 2021)
A multi-echo fMRI dataset (N=28 healthy participants) with four task-based and two resting state runs was collected, curated and made available to the community. Its main purpose is to advance the development of methods ...
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
(Neuron, 2021)
Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open,
inclusive environment. This NeuroView describes the myriad benefits for participants and the research community
and ...
Rapid online assessment of reading ability
(Scientific Reports, 2021)
An accurate model of the factors that contribute to individual differences in reading ability depends
on data collection in large, diverse and representative samples of research participants. However, that
is rarely ...
Lexical Information Guides Retuning of Neural Patterns in Perceptual Learning for Speech
(Journal of Cognitive Neuroscience, 2020)
A listener's interpretation of a given speech sound can vary probabilistically from moment to moment. Previous experience (i.e., the contexts in which one has encountered an ambiguous sound) can further influence the ...