Spatial sampling of deep neural network features improves encoding models of foveal and peripheral visual processing in humans
Niklas Müller, Hongye Chen, Sofie Wahlberg, H. Steven Scholte, Iris I. A. Groen
This study improves DNN encoding models of human visual processing by aligning their spatial sampling with human retinal ganglion cell density, revealing distinct temporal profiles for central and peripheral visual information.
PLoS Computational Biology · Jun 30, 2026Peer-reviewedNeuroscience