Dissecting the neuronal mechanisms of invariant word recognition
Aakash Agrawal,
Stanislas Dehaene
Abstract:Learning to read places a strong challenge on the visual system. Years of expertise lead to a remarkable capacity to separate highly similar letters and encode their relative positions, thus distinguishing words such as FORM and FROM invariantly over a large range of sizes and absolute positions. How neural circuits achieve invariant word recognition remains unknown. Here we address this issue through computational modeling and brain imaging. We first trained deep neural network models to recognize written wor… Show more
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