Benjamin R. Cowley

This paper develops compact deep neural network models that predict macaque V4 neural responses with high accuracy while using significantly fewer parameters than existing models.

The paper introduces a method to map deep network units to real neurons and shows that visual projection neurons in Drosophila form a distributed population code for social behavior.

The paper establishes mathematical and empirical links between pairwise neuronal correlations and dimensionality reduction metrics, showing that attention-related changes in mean pairwise correlation arise from distinct population-wide covariability shifts.

The paper identifies slow neural activity drift in macaque visual and prefrontal cortex as an impulsivity signal influencing perceptual decisions over time.