Russell A. Epstein

This study investigates how the human brain represents hierarchical spatial environments using fMRI and behavioral tasks, finding that integration across subspaces involves specific brain regions and cognitive processes.

This study identifies brain regions in humans that maintain a consistent directional representation during naturalistic virtual navigation.

The paper investigates two neural mechanisms for integrating spatial views in the human brain using fMRI and multivoxel pattern analysis, showing distinct roles for the retrosplenial complex and parahippocampal place area.

The paper uses fMRI and machine learning to show that object representations in the human brain reflect co-occurrence statistics of objects in vision and language.

This study shows that environmental deformations cause dynamic shifts in grid cell spatial metrics, contributing to the appearance of rescaling.

The paper tests if visual adaptation decorrelates shape representations in humans using behavioral and fMRI experiments, finding improved discrimination and decorrelation in object-selective cortex.

The paper uses deep convolutional neural networks to model cortical responses to navigational affordances in visual scenes, finding that feedforward computations capture key features of scene layout.