The MIT Libraries is completing a major upgrade to DSpace@MIT. Starting May 5 2026, DSpace will remain functional, viewable, searchable, and downloadable, however, you will not be able to edit existing collections or add new material. We are aiming to have full functionality restored by May 18, 2026 but intermittent service interruptions may occur. Please email dspace-lib@mit.edu with any questions. Thank you for your patience as we implement this important upgrade.

Now showing items 112-114 of 160

    • View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation 

      Leibo, Joel Z.; Liao, Qianli; Freiwald, Winrich; Anselmi, Fabio; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), arXiv, 2016-06-03)
      The primate brain contains a hierarchy of visual areas, dubbed the ventral stream, which rapidly computes object representations that are both specific for object identity and relatively robust against identity-preserving ...
    • Probing the compositionality of intuitive functions 

      Schulz, Eric; Tenenbaum, Joshua B.; Duvenaud, David; Speekenbrink, Maarten; Gershman, Samuel J. (Center for Brains, Minds and Machines (CBMM), 2016-05-26)
      How do people learn about complex functional structure? Taking inspiration from other areas of cognitive science, we propose that this is accomplished by harnessing compositionality: complex structure is decomposed into ...
    • Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex 

      Liao, Qianli; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), arXiv, 2016-04-12)
      We discuss relations between Residual Networks (ResNet), Recurrent Neural Networks (RNNs) and the primate visual cortex. We begin with the observation that a shallow RNN is exactly equivalent to a very deep ResNet with ...