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  <titleInfo>
    <title>Cellular neural networks and visual computing</title>
    <subTitle>foundation and applications</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Chua, Leon O.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Roska, T.</namePart>
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  <originInfo>
    <place>
      <placeTerm type="text">Cambridge, UK</placeTerm>
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    <place>
      <placeTerm type="text">New York, NY</placeTerm>
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    <publisher>Cambridge University Press</publisher>
    <dateIssued>2002</dateIssued>
    <issuance/>
  </originInfo>
  <physicalDescription>
    <extent>xi, 396 p. : ill. ; 26 cm.</extent>
  </physicalDescription>
  <tableOfContents>Introduction (Page-1), Notation, Definitions and Mathematical Foundations (Page-7),  Characteristics and Analysis of Simple CNN Templates (Page-35), Simulation of the CNN Dynamics (Page-100),  Binary CNN  Characterization Via Boolean Functions (Page-115), Uncoupled CNNs Unified Theory and Applications (Page-139),  Introductions to the CNN Universal Machine (Page-183), Back to Basics Nonlinear Dynamics and Complete Stability (Page-205), The CNN Universal Machine (Page-239),Template Design Tools (Page-258), CNNs For Linear Image Processing (Page-267), Coupled CNN With Linear Synaptic Weights (Page-276), Uncoupled Standard CNNs with Nonlinear Synaptic Weights (Page-290), Standard With Delayed Synaptic Weight and Motion Analysis (Page-2960),  Visual Microprocessor Analog and Digital VLSI Implementation of the CNN Universal Machine (Page-304), CNN Models in the Visual Pathway and The Bionic Eye (Page-320),</tableOfContents>
  <note type="statement of responsibility">Leon O. Chua and Tamas Roska.</note>
  <subject authority="lcsh">
    <topic>Neural networks (Computer science)</topic>
  </subject>
  <classification authority="ddc">006.3,CHU</classification>
  <identifier type="isbn">0521540801</identifier>
  <identifier type="lccn">2001025555</identifier>
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