The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks
Neural population control via deep image synthesis
Neural System Identification with Neural Information Flow
Deep learning models of cognitive processes constrained by human brain connectomes
Deep image reconstruction from human brain activity