CBMM Memo Series: Recent submissions

Now showing items 58-60 of 149

    • Spatiotemporal interpretation features in the recognition of dynamic images 

      Ben-Yosef, Guy; Kreiman, Gabriel; Ullman, Shimon (Center for Brains, Minds and Machines (CBMM), 2018-11-21)
      Objects and their parts can be visually recognized and localized from purely spatial information in static images and also from purely temporal information as in the perception of biological motion. Cortical regions have ...

    • Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results 

      Arend, Luke; Han, Yena; Schrimpf, Martin; Bashivan, Pouya; Kar, Kohitij; e.a. (Center for Brains, Minds and Machines (CBMM), 2018-11-02)
      Deep neural networks have been shown to predict neural responses in higher visual cortex. The mapping from the model to a neuron in the brain occurs through a linear combination of many units in the model, leaving open the ...

    • Biologically-Plausible Learning Algorithms Can Scale to Large Datasets 

      Xiao, Will; Chen, Honglin; Liao, Qianli; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2018-09-27)
      The backpropagation (BP) algorithm is often thought to be biologically implausible in the brain. One of the main reasons is that BP requires symmetric weight matrices in the feedforward and feed- back pathways. To address ...