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Talk I have delivered at SfN 2018 about our work at Institute of Computer Science of University of Tartu in collaboration Lyon Neuroscience Research Center. We use deep intracranial recordings from humans to compare visual representations of human visual system with the visual representations learned by deep convolutional neural networks.
Published paper: https://www.nature.com/articles/s42003-018-0110-y
Code and data: https://github.com/kuz/Human-Intracranial-Recordings-and-DCNN-to-Compare-Biological-and-Artificial-Mechanisms-of-Vision