Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Subject "neuroscience"
Now showing items 1-5 of 5
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Examining high level neural representations of cluttered scenes
(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 ...
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Face processing in humans is compatible with a simple shape-based model of vision
(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 ...
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Face processing in humans is compatible with a simple shape-based model of vision
(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 ...
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Mathematics of the Neural Response
(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 ...
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Notes on the Shannon Entropy of the Neural Response
(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 ...