Search Results - "Prenger, Ryan J."
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Bayesian Reconstruction of Natural Images from Human Brain Activity
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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Neural Representation of Natural Images in Visual Area V2
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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Identifying natural images from human brain activity
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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Modeling low-frequency fluctuation and hemodynamic response timecourse in event-related fMRI
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
The berkeley wavelet transform: a biologically inspired orthogonal wavelet transform
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
Practical Ensemble Classification Error Bounds for Different Operating Points
Published in IEEE transactions on knowledge and data engineering (01-11-2013)“…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
Bayesian Reconstruction of Natural Images from Human Brain Activity
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
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8
Evaluating Parameter Efficient Learning for Generation
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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The unified maximum a posteriori (MAP) framework for neuronal system identification
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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