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Arun, S. P.

Publications and source records attributed to Arun, S. P..

2 recordsLinked to original sources

Reading Increases the Compositionality of Visual Word Representations

Reading causes widespread changes in the brain but its effect on visual word representations is unknown. Reading may facilitate visual processing by forming specialized detectors for longer strings, or by making word responses more predictable from single letters, that is by increasing compositionality. We provide evidence for the latter hypothesis by comparing readers and nonreaders of two Indian languages, Telugu and Malayalam. Readers showed decreased interactions between letters during visual search, which predicted their overall reading fluency. Brain imaging revealed increased compositionality in readers, whereby responses to bigrams were more predictable from single letters. This effect was specific to the lateral occipital region, where activations best matched behavior. Thus, reading facilitates visual processing by increasing the compositionality of visual word representations.

neuroscience

A compositional shape code explains how we read jumbled words

We read words and even jubmled wrods effortlessly, but the neural representations underlying this remarkable ability remain unknown. We hypothesized that word processing is driven by a visual representation that is compositional i.e. with string responses systematically related to letters. To test this hypothesis, we devised a model in which neurons tuned to letter shape respond to longer strings by linearly summing letter responses. This letter model explained human performance in both visual search as well as word reading tasks. Brain imaging revealed that viewing a string activates this compositional letter code in the lateral occipital (LO) region, and that subsequent comparisons to known words are computed by the visual word form area (VWFA). Thus, seeing a word activates a compositional letter code that enables efficient reading.

neuroscience