Sripati P. Arun

The paper shows that monkeys reactivated visual responses to food during REM-like sleep, suggesting selective dreaming about food.

The paper shows that high-level visual and motor brain regions show a double dissociation in controlled tasks, and this dissociation persists at specific times during natural behaviors.

The paper shows that neural activity during natural interactions with real objects is as reliable as when viewing images, suggesting efficient encoding of real objects.

This study tracks neural activity in socially interacting macaques to identify how social variables like grooming reciprocity are encoded in the brain.

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

This study compares visual perception between monkeys and humans using a general oddball visual search task, revealing both similarities and differences in perceptual phenomena.

The paper shows that visual homogeneity, a property of object representations, enables solving property-based visual tasks by localizing computation in the object-selective cortex.

The paper shows that neurons in monkey IT cortex use a separable code to decode CAPTCHAs by encoding distortions and letter combinations separately.

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

This study investigates whether deep neural networks perceive visual stimuli similarly to humans by testing if they exhibit known perceptual phenomena without explicit training.

The paper investigates global and local processing using hierarchical stimuli and finds that these phenomena can be explained by multiscale shape integration in a feature representation.

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