Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Subject "neuroscience"

Now showing items 1-5 of 5

  • Examining high level neural representations of cluttered scenes 

    Unknown author (2010-07-29)
    Humans and other primates can rapidly categorize objects even when they are embedded in complex visual scenes (Thorpe et al., 1996; Fabre-Thorpe et al., 1998). Studies by Serre et al., 2007 have shown that the ability of ...

  • Face processing in humans is compatible with a simple shape-based model of vision 

    Unknown author (2004-03-05)
    Understanding how the human visual system recognizes objects is one of the key challenges in neuroscience. Inspired by a large body of physiological evidence (Felleman and Van Essen, 1991; Hubel and Wiesel, 1962; Livingstone ...

  • Face processing in humans is compatible with a simple shape-based model of vision 

    Unknown author (2004-03-05)
    Understanding how the human visual system recognizes objects is one of the key challenges in neuroscience. Inspired by a large body of physiological evidence (Felleman and Van Essen, 1991; Hubel and Wiesel, 1962; Livingstone ...

  • Mathematics of the Neural Response 

    Unknown author (2008-11-26)
    We propose a natural image representation, the neural response, motivated by the neuroscience of the visual cortex. The inner product defined by the neural response leads to a similarity measure between functions which we ...

  • Notes on the Shannon Entropy of the Neural Response 

    Unknown author (2009-10-09)
    In these notes we focus on the concept of Shannon entropy in an attempt to provide a systematic way of assessing the discrimination properties of the neural response, and quantifying the role played by the number of layers ...