rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Neuromorphic Systems Engineering
    sub title: Neural Networks in Silicon
  name:
    name part: Lande, Tor Sverre.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 1998
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 462 p. online resource.
  abstract: Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include: large scale analog systems in silicon neuromorphic silicon auditory (ear) and vision (eye) systems in silicon learning and adaptation in silicon merging biology and technology micropower analog circuit design analog memory analog interchipcommunication on digital buses £/LIST£ Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject.
  table of contents: Cochlear Systems -- Filter Cascades as Analogs of the Cochlea -- An Analogue VLSI Model of Active Cochlea -- A Low-Power Wide-Dynamic-Range Analog VLSI Cochlea -- Speech Recognition Experiments with Silicon Auditory Models -- Retinomorphic Systems -- The Retinomorphic Approach: Pixel-Parallel Adaptive Amplification, Filtering, and Quantization -- Analog VLSI Excitatory Feedback Circuits for Attentional Shifts and Tracking -- Floating-Gate Circuits for Adaptation of Saccadic Eye Movement Accuracy -- Neuromorphic Communication -- to Neuromorphic Communication -- A Pulsed Communication/Computation Framework for Analog VLSI Perceptive Systems -- Asynchronous Communication of 2D Motion Information Using Winner-Takes-All Arbitration -- Communicating Neuronal Ensembles between Neuromorphic Chips -- Neuromorphic Technology -- Introduction: From Neurobiology to Silicon -- A Low-Power Wide-Linear-Range Transconductance Amplifier -- Floating-Gate MOS Synapse Transistors -- Neuromorphic Synapses for Artificial Dendrites -- Winner-Take-All Networks with Lateral Excitation -- Neuromorphic Learning -- Neuromorphic Learning VLSI Systems: A Survey -- Analog VLSI Stochastic Perturbative Learning Architectures -- Winner-Takes-All Associative Memory: A Hamming Distance Vector Quantizer.
  note: edited by Tor Sverre Lande.
  subject:
    topic: Engineering
  subject:
    topic: Computer science
  subject:
    topic: Statistical physics
  subject:
    topic: Dynamical systems
  subject:
    topic: Electrical engineering
  subject:
    topic: Electronic circuits
  subject:
    topic: Engineering
  subject:
    topic: Circuits and Systems
  subject:
    topic: Electrical Engineering
  subject:
    topic: Statistical Physics, Dynamical Systems and Complexity
  subject:
    topic: Computer Science, general
  classification: TK7888.4
  classification: 621.3815
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: The Springer International Series in Engineering and Computer Science, Analog Circuits and Signal Processing, 447
  identifier: 9780585280011
  identifier: http://dx.doi.org/10.1007/b102308
  record info:
    record creation date: 100301
    record change date: 20151204183028.0
    record identifier: 978-0-585-28001-1