Now showing items 1-9 of 9

  • Asymptotic rates of the information transfer ratio 

    Sinanovic, Sinan; Johnson, Don (2002-05-20)
    Information processing is performed when a system preserves aspects of the input related to what the input represents while it removes other aspects. To describe a system's information processing capability, input and ...
  • Basics of information processing 

    Johnson, Don (2002-01-20)
    Basic probability theory, statistical signal processing and information theory, and inter-relationships among these disciplines form the foundations of a theory of information processing. Examples are drawn from point-process ...
  • Four top reasons why mutual information does not assess neural information processing 

    Johnson, Don (2002-07-20)
    Mutual information between stimulus and response has been advocated as an information theoretic measure of a neural system's capability to process information. Once calculated, the result is a single number that supposedly ...
  • An Information processing approach to distributed detection 

    Lexa, Michael; Johnson, Don (2003-09-20)
    We apply the recent theory of information processing to a hybrid distributed detection architecture that combines the traditional parallel and tandem architectures. Central to this theory is the Kullback-Leibler discrimination ...
  • Neural population structures and consequences for neural coding 

    Johnson, Don (2002-09-20)
    Researchers studying neural coding have speculated that populations of neurons would more effectively represent the stimulus if the neurons "cooperated:" by interacting through lateral connections, the neurons would process ...
  • A new look at the informational gain of soft decisions 

    Lexa, Michael; Johnson, Don (2003-04-20)
    This paper develops a new systematic method of studying the benefits of 2-bit soft decisions by applying the concepts of information processing theory. We quantify performance in terms of the information transfer ratio and ...
  • Optimizing binary decision systems by manipulating transmission intervals 

    Lexa, Michael; Johnson, Don (2003-07-20)
    We study the optimization of a binary decision system where quantized (soft) decisions are transmitted across an additive white Gaussian noise channel. We adjust the bit transmission intervals to maximize the Chernoff ...
  • Toward a theory of information processing 

    Sinanovic, Sinan; Johnson, Don (2004-06-01)
    Information processing theory endeavors to quantify how well signals encode information and how well systems, by acting on signals, process information. We use information-theoretic distance measures, the Kullback-Leibler ...
  • When does interval coding occur? 

    Johnson, Don; Glantz, Raymon (2003-07-20)
    During the stationary portion of neuron's spiking response to a stimulus, the stimulus could be coded in the average rate and, more elaborately, in the statistics of the sequence of interspike intervals. We use information ...