Linking patterns of infant eye movements to a neural network model of the ventral stream using representational similarity analysis.

ABSTRACT: Little is known about the development of higher-level areas of visual cortex during infancy, and even less is known about how the development of visually guided behavior is related to the different levels of the cortical processing hierarchy. As a first step toward filling these gaps, we used representational similarity analysis (RSA) to assess links between gaze patterns and a neural network model that captures key properties of the ventral visual processing stream. We recorded the eye movements of 4- to 12-month-old infants (N = 54) as they viewed photographs of scenes. For each infant, we calculated the similarity of the gaze patterns for each pair of photographs. We also analyzed the images using a convolutional neural network model in which the successive layers correspond approximate

SUBMITTER: Kiat JE 

PROVIDER: S-EPMC8639751 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature