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  • PhD Defense: Characterization of visual cells using generic models and natural stimuli.

    Thu, Mar 04, 2010 @ 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Receptions & Special Events


    Title: Characterization of visual cells using generic models and natural stimuli.Committee:
    Dr. Norberto M. Grzywacz (co-chair)
    Dr. Jerry M. Mendel (co-chair)
    Dr. Vassilis Z. Marmarelis
    Dr. Judith A. Hirsch
    Thesis:http://confucius.usc.edu/~rapela/thesis/thesis.pdfAbstract:Traditionally visual cells have been characterized using their responses to artificial stimuli by simple parametric models. However, recent investigations show that visual cells adapt to the statistical properties of the stimuli used to probe them. Thus, to characterize visual cells in their natural operating conditions, it is important to use naturalistic stimuli. Simple parametric models are designed for specific classes of cells, making assumptions about their response properties. But, if these assumptions do not match the cell response properties, the interpretation of the estimated model parameters isquestionable. An alternative is to use generic non-parametric models that can characterize a broad range of cell classes. This thesis contains technical and scientific contributions. Technically, we develop methods to estimate generic non-parametric models of visual cells from their responses to arbitrary, including natural, stimuli. In the first part of this thesis, we introduce the Volterra Relevant Space Technique (VRST), that allows the estimation of spatial Volterra models of visual cells from their responses to natural stimuli. Disregarding temporal properties of the response generation mechanism for the estimation of spatial Volterra models is a good first approximation. However, in most conditions responses of visual cells are not spatial, but spatio temporal. So, in the second part of this dissertation we build the extended Projection Pursuit Regression (ePPR) algorithm, that estimates a very general model for the characterization of visual cells in
    space and time. The generality of the ePPR model reveals differences in response properties of cortical cells to natural and random stimuli that had not been observed with existing models. Thus, scientifically this thesis shows that using natural stimuli for the characterization of visual cells is relevant
    to understand natural vision.

    Location: Hedco Neurosciences Building (HNB) - 107

    Audiences: Everyone Is Invited

    Contact: Mischalgrace Diasanta

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  • Engineering Kidz Design Challenge

    Wed, Mar 24, 2010 @ 10:30 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Receptions & Special Events


    Do you like to design cool solutions? Build neat contraptions? Tinker?Compete in the Engineering Kidz Design Challenge! Team up with inner-city 5th grade students and participate in unique challenges where you design working heart models, flapping birds or light weight vehicles. You will get a chance to mentor and work with children and inspire them to pursue a career in engineering or science.Register online at www.IridescentLearning.orgLunch will be provided (and free t-shirts for early registrants!)

    Location: E-Quad

    Audiences: Everyone Is Invited

    Contact: Iridescent Learning

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