Jinani Sooriyaarachchi

This paper develops a model combining cortical state signals and visual stimuli to better predict neural responses in the visual cortex, showing improved accuracy for neurons with higher response variability.

The paper develops a convolutional neural network to estimate receptive fields of simple and complex visual cortex cells from natural image responses, revealing a continuum of simple/complex behavior and lower reliability in complex-like cells.