Now showing items 1-5 of 5

    • Correlated Noise in Deep Convolutional Neural Networks 

      Dutta, Shamak (University of Waterloo, 2019-08-28)
      This thesis explores one of the differences between the visual cortex and deep convolutional neural networks, namely, correlated fluctuations of neuron response strength. First, we describe the similarities and differences ...
    • Development of an Integrated Model of Primary Visual Cortex 

      Selby, Benjamin (University of Waterloo, 2016-02-16)
      Network-level models of visual processing have potentially important insights for applications such as computer vision and robotics. Primary visual cortex is a key stage of visual processing with involvement in many circuits ...
    • An Empirical Model of Area MT: Investigating the Link between Representation Properties and Function 

      Sadat Rezai, Seyed Omid (University of Waterloo, 2018-10-16)
      The middle temporal area (MT) is one of the visual areas of the primate brain where neurons have highly specialized representations of motion and binocular disparity. Other stimulus features such as contrast, size, and ...
    • Robotic Grasping using Demonstration and Deep Learning 

      Reyes Osorio, Victor (University of Waterloo, 2019-09-11)
      Robotic grasping is a challenging task that has been approached in a variety of ways. Historically grasping has been approached as a control problem. If the forces between the robotic gripper and the object can be calculated ...
    • Studying CNN representations through activation dimensionality reduction and visualization 

      Dey, Nolan Simran (University of Waterloo, 2021-10-01)
      The field of explainable artificial intelligence (XAI) aims to explain the decisions of DNNs. Complete DNN explanations accurately reflect the inner workings of the DNN while interpretable explanations are easy for humans ...

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