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Showing 1–3 of 3 results
Advanced filters: Author: Jaan Aru Clear advanced filters
  • Ilya Kuzovkin et al. compare intracranial depth recordings from human subjects taken during a visual recognition task to activations of deep convolutional neural networks (DCNNs). They find that signals in gamma frequency bands in the recordings are aligned with the hierarchical layer structure of the DCNN, showing that DCNNs capture important characteristics of biological object recognition.

    • Ilya Kuzovkin
    • Raul Vicente
    • Jaan Aru
    ResearchOpen Access
    Communications Biology
    Volume: 1, P: 1-12
  • Architectures in neural networks commonly assume that inference is hierarchical. In this Perspective, Suzuki et al. present the shallow brain hypothesis, a neural processing mechanism based on neuroanatomical and electrophysiological evidence that intertwines hierarchical cortical processing with a massively parallel process to which subcortical areas substantially contribute.

    • Mototaka Suzuki
    • Cyriel M. A. Pennartz
    • Jaan Aru
    Reviews
    Nature Reviews Neuroscience
    Volume: 24, P: 778-791