Thomas P. O’Connell

The paper shows predictive coding models replicate human perception and neuronal responses to motion-defined shapes in videos.

This paper introduces a functional searchlight method to analyze fMRI data, revealing that visual, auditory, and semantic features are more distributed in the brain than previously thought.

The paper demonstrates zero-shot decoding of novel visual categories using neural responses from macaque inferior temporal cortex mapped onto a deep neural network.

This study predicts eye movements from spatial priority maps reconstructed from fMRI data using a deep CNN model pre-trained for scene categorization.