Aakash Agrawal

Orthographic training finetunes a neuronal letter position code in primate visual cortex

The paper shows that orthographic training enhances ordinal position sensitivity in IT cortex neurons of macaques, supporting the neuronal recycling hypothesis for reading.

Dissecting the cortical stages of invariant word recognition

This study uses fMRI and MEG to show how the brain encodes letter positions in words, transitioning from retinotopic to ordinal codes in higher visual areas.

Dissecting the neuronal mechanisms of invariant word recognition

This study uses computational models and brain imaging to uncover how neural circuits achieve invariant word recognition by encoding ordinal positions as 'space bigrams'.

Does the visual word form area split in bilingual readers? A millimeter-scale 7T fMRI study

This study uses 7T fMRI to investigate whether bilingual readers have distinct cortical patches for different languages, finding overlapping but specialized regions for English-French and additional patches for English-Chinese.

Visual search for upright bigrams predicts reading fluency in children

The paper shows that visual processing of upright bigrams correlates with reading fluency in children, suggesting specialized visual processing contributes to reading skills.

Simulating the emergence of the Visual Word Form Area: Recycling a convolutional neural network for reading

The paper simulates the emergence of the visual word form area by training a convolutional neural network to recognize written words, showing it can replicate key properties of the VWFA.

A compositional shape code explains how we read jumbled words

The paper proposes a compositional shape code for word reading, showing it explains human performance in visual search and word reading tasks.

Reading Increases the Compositionality of Visual Word Representations

The paper shows that reading increases the compositionality of visual word representations by comparing readers and nonreaders in two Indian languages.