Beyond the Visual Word Form Area–a cognitive characterization of the left ventral occipitotemporal cortex
The left ventral occipitotemporal cortex has been traditionally viewed as a pathway for visual
object recognition including written letters and words. Its crucial role in reading was …
object recognition including written letters and words. Its crucial role in reading was …
A data-driven framework for mapping domains of human neurobiology
Functional neuroimaging has been a mainstay of human neuroscience for the past 25 years.
Interpretation of functional magnetic resonance imaging (fMRI) data has often occurred …
Interpretation of functional magnetic resonance imaging (fMRI) data has often occurred …
The brain connectome for Chinese reading
Chinese, as a logographic language, fundamentally differs from alphabetic languages like
English. Previous neuroimaging studies have mainly focused on alphabetic languages …
English. Previous neuroimaging studies have mainly focused on alphabetic languages …
How usefulness shapes neural representations during goal-directed behavior
Value is often associated with reward, emphasizing its hedonic aspects. However, when
circumstances change, value must also change (a compass outvalues gold, if you are lost) …
circumstances change, value must also change (a compass outvalues gold, if you are lost) …
[HTML][HTML] Knowing what you need to know in advance: The neural processes underpinning flexible semantic retrieval of thematic and taxonomic relations
Semantic retrieval is flexible, allowing us to focus on subsets of features and associations
that are relevant to the current task or context: for example, we use taxonomic relations to …
that are relevant to the current task or context: for example, we use taxonomic relations to …
Neurora: A python toolbox of representational analysis from multi-modal neural data
In studies of cognitive neuroscience, multivariate pattern analysis (MVPA) is widely used as
it offers richer information than traditional univariate analysis. Representational similarity …
it offers richer information than traditional univariate analysis. Representational similarity …
Intersecting distributed networks support convergent linguistic functioning across different languages in bilinguals
How bilingual brains accomplish the processing of more than one language has been
widely investigated by neuroimaging studies. The assimilation-accommodation hypothesis …
widely investigated by neuroimaging studies. The assimilation-accommodation hypothesis …
Semantic representations in inferior frontal and lateral temporal cortex during picture naming, reading, and repetition
Reading, naming, and repetition are classical neuropsychological tasks widely used in the
clinic and psycholinguistic research. While reading and repetition can be accomplished by …
clinic and psycholinguistic research. While reading and repetition can be accomplished by …
Modeling task effects on meaning representation in the brain via zero-shot meg prediction
How meaning is represented in the brain is still one of the big open questions in
neuroscience. Does a word (eg, bird) always have the same representation, or does the task …
neuroscience. Does a word (eg, bird) always have the same representation, or does the task …
Stimulus repetition and sample size considerations in item-level representational similarity analysis
In studies using representational similarity analysis (RSA) of fMRI data, the reliability of the
neural representational dissimilarity matrix (RDM) is a limiting factor in the ability to detect …
neural representational dissimilarity matrix (RDM) is a limiting factor in the ability to detect …