Search Results - "Prenger, Ryan J."

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  1. 1

    Bayesian Reconstruction of Natural Images from Human Brain Activity by Naselaris, Thomas, Prenger, Ryan J., Kay, Kendrick N., Oliver, Michael, Gallant, Jack L.

    Published in Neuron (Cambridge, Mass.) (24-09-2009)
    “…Recent studies have used fMRI signals from early visual areas to reconstruct simple geometric patterns. Here, we demonstrate a new Bayesian decoder that uses…”
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    Journal Article
  2. 2

    Neural Representation of Natural Images in Visual Area V2 by Willmore, Ben D. B, Prenger, Ryan J, Gallant, Jack L

    Published in The Journal of neuroscience (10-02-2010)
    “…Area V2 is a major visual processing stage in mammalian visual cortex, but little is currently known about how V2 encodes information during natural vision. To…”
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  3. 3

    Identifying natural images from human brain activity by Gallant, Jack L, Kay, Kendrick N, Naselaris, Thomas, Prenger, Ryan J

    Published in Nature (20-03-2008)
    “…A challenging goal in neuroscience is to be able to read out, or decode, mental content from brain activity. Recent functional magnetic resonance imaging…”
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  4. 4

    Modeling low-frequency fluctuation and hemodynamic response timecourse in event-related fMRI by Kay, Kendrick N., David, Stephen V., Prenger, Ryan J., Hansen, Kathleen A., Gallant, Jack L.

    Published in Human brain mapping (01-02-2008)
    “…Functional magnetic resonance imaging (fMRI) suffers from many problems that make signal estimation difficult. These include variation in the hemodynamic…”
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  5. 5

    The berkeley wavelet transform: a biologically inspired orthogonal wavelet transform by Willmore, Ben, Prenger, Ryan J, Wu, Michael C-K, Gallant, Jack L

    Published in Neural computation (01-06-2008)
    “…We describe the Berkeley wavelet transform (BWT), a two-dimensional triadic wavelet transform. The BWT comprises four pairs of mother wavelets at four…”
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  6. 6

    Practical Ensemble Classification Error Bounds for Different Operating Points by Varshney, Kush R., Prenger, Ryan J., Marlatt, Tracy L., Chen, Barry Y., Hanley, William G.

    “…Classification algorithms used to support the decisions of human analysts are often used in settings in which zero-one loss is not the appropriate indication…”
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  7. 7

    Bayesian Reconstruction of Natural Images from Human Brain Activity by Naselaris, Thomas, Prenger, Ryan J, Kay, Kendrick N, Oliver, Michael, Gallant, Jack L

    Published in Neuron (Cambridge, Mass.) (24-09-2009)
    “…Recent studies have used fMRI signals from early visual areas to reconstruct simple geometric patterns. Here, we demonstrate a new Bayesian decoder that uses…”
    Get full text
    Journal Article
  8. 8

    Evaluating Parameter Efficient Learning for Generation by Xu, Peng, Patwary, Mostofa, Prabhumoye, Shrimai, Adams, Virginia, Prenger, Ryan J, Ping, Wei, Lee, Nayeon, Shoeybi, Mohammad, Catanzaro, Bryan

    Published 24-10-2022
    “…Parameter efficient learning methods (PERMs) have recently gained significant attention as they provide an efficient way for pre-trained language models (PLMs)…”
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  9. 9

    The unified maximum a posteriori (MAP) framework for neuronal system identification by Wu, Michael C. -K, Deniz, Fatma, Prenger, Ryan J, Gallant, Jack L

    Published 31-10-2018
    “…The functional relationship between an input and a sensory neuron's response can be described by the neuron's stimulus-response mapping function. A general…”
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