Search Results - "Johnson, Don H"

Sparse coding via thresholding and local competition in neural circuits by Rozell, Christopher J, Johnson, Don H, Baraniuk, Richard G, Olshausen, Bruno A

“…While evidence indicates that neural systems may be employing sparse approximations to represent sensed stimuli, the mechanisms underlying this ability are not…”
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Information Theory and Neural Information Processing by Johnson, D.H.

“…Neuroscientists want to quantify how well neurons, individually and collectively, process information and encode the result in their outputs. We demonstrate…”
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All-Optical Nanoscale pH Meter by Bishnoi, Sandra W, Rozell, Christopher J, Levin, Carly S, Gheith, Muhammed K, Johnson, Bruce R, Johnson, Don H, Halas, Naomi J

“…We show that an Au nanoshell with a pH-sensitive molecular adsorbate functions as a standalone, all-optical nanoscale pH meter that monitors its local…”
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Information-theoretic analysis of neural coding by Johnson, D H, Gruner, C M, Baggerly, K, Seshagiri, C

“…We describe an approach to analyzing single- and multiunit (ensemble) discharge patterns based on information-theoretic distance measures and on empirical…”
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Statistical Signal Processing in Neuroscience by Oweiss, Karim G., Principe, Jose C., Johnson, Don H.

“…[...] Hu et al. propose using a realistic nonlinear model rather than a linearized version to analyze multivoxel behavior in fMRI images in their paper…”
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Weave analysis of paintings on canvas from radiographs by Johnson, Don H., Richard Johnson, C., Erdmann, Robert G.

“…A spectral algorithm is described for measuring from radiographs the weaving densities of the horizontal and vertical threads that comprise a painting's…”
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Toward a theory of information processing by Sinanović, Sinan, Johnson, Don H.

“…Information processing theory endeavors to quantify how well signals encode information and how well systems, by acting on signals, process information. We use…”
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Analyzing the robustness of redundant population codes in sensory and feature extraction systems by Rozell, Christopher J., Johnson, Don H.

“…Sensory systems often use groups of redundant neurons to represent stimulus information both during transduction and population coding of features. This…”
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Data-driven estimation of mutual information using frequency domain and its application to epilepsy by Malladi, Rakesh, Johnson, Don H, Kalamangalam, Giridhar P, Tandon, Nitin, Aazhang, Behnaam

“…We consider the problem of estimating mutual information between dependent data, an important problem in many science and engineering applications. We propose…”
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Computing linear transforms of symbolic signals by Wei Wang, Johnson, D.H.

“…Signals that represent information may be classified into two forms: numeric and symbolic. Symbolic signals are discrete-time sequences that at, any particular…”
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Inferring the capacity of the vector Poisson channel with a Bernoulli model by Johnson, Don H., Goodman, Ilan N.

“…The capacity defines the ultimate fidelity limits of information transmission by any system. We derive the capacity of parallel Poisson process channels to…”
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Learning modular representations from global sparse coding networks by Dyer, Eva L, Johnson, Don H, Baraniuk, Richard G

“…With the development of techniques to examine the activity of multiple neurons in intact neural circuits, our view of information processing in sensory systems…”
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Spike sorting should be biased for optimal neural control prostheses by Goodman, Ilan N, Johnson, Don H

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On the Utility of Spectral-Maximum-Based Automated Thread Counting from X-Radiographs of Paintings on Canvas by Johnson, Richard C., Johnson, Don H., Hamashima, Naoto, Sung Yang, Heui, Hendriks, Ella

“…This paper establishes that the two-dimensional Fourier transform, spectral-maximum-based extraction of thread density appears suited to automatic thread…”
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Distributed Structures, Sequential Optimization, and Quantization for Detection by Lexa, M.A., Johnson, D.H.

“…In the design of distributed quantization systems, one inevitably confronts two types of constraints - those imposed by a distributed system's structure and…”
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Weave matching and dating of Van Gogh's paintings: an interdisciplinary approach by VAN TILBORGH, LOUIS, MEEDENDORP, TEIO, HENDRIKS, ELLA, JOHNSON, DON H., JOHNSON, C. RICHARD, ERDMANN, ROBERT G.

“…This article provides an interim report on the progress of the Thread Count Automation Project (TCAP), which began at the Van Gogh Museum, Amsterdam, in 2007…”
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Information theoretic bounds on the effectiveness of neural prosthetics by Goodman, Ilan N, Johnson, Don H

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Matching canvas weave patterns from processing x-ray images of master paintings by Johnson, Don H, Sun, Lucia, Johnson, C Richard, Hendriks, Ella

“…Thread counting algorithms seek to determine from x-ray images the vertical and horizontal thread counts (frequencies) of the canvas weave comprising a…”
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Optimal stimulus coding by neural populations using rate codes by Johnson, Don H, Ray, Will

“…We create a framework based on Fisher information for determining the most effective population coding scheme for representing a continuous-valued stimulus…”
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Neural population structures and consequences for neural coding by Johnson, Don H

“…Researchers studying neural coding have speculated that populations of neurons would more effectively represent the stimulus if the neurons "cooperated:" by…”
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