Florian Burger

The paper investigates the roles of broadband and narrowband gamma oscillations in visual information encoding using ECoG and LFP data from humans and macaques, finding broadband signals to be synergistic and narrowband gamma to be redundant.

The paper shows that human-derived dimensions in deep neural networks emerge hierarchically across layers, similar to human vision, and is influenced by architecture, learning objectives, and stimulus statistics.