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Mindmap

Kohonen network / Adaptive resonance theory

Jun Carlo Balante Englisch

Kohonen network / Adaptive resonance theory

Inhalt der Mindmap

Kohonen network / Adaptive resonance theory

  1. computational method for the visualization and analysis of high-dimensional data

  2. vector quantization

    • classical quantization technique
    • prototype vectors
  3. Self-Organizing Map

    • Form of the array
      • Scaling of the vector components
        • Learning with a small number of available training samples
          • Quality of learning:
          • a finite set of attributes
        • subtle problem
      • A hexagonal grid of nodes
  4. is a theory developed by Stephen Grossberg and Gail Carpenter

  5. The Stability-Plasticity Dilemma and Rapid Learning Throughout Life

    • Equations
      • Modules
        • Modal Architectures
          • Complementary Processing Streams
  6. Equations for short-term memory

    • STM: Neuronal Activation in Additive and Shunting On-Center Off-Surround Networks
      • MTM: Habituative Transmitter Gates and Depressing Synapses
        • LTM: Gated Steepest Descent Learning
  7. Mismatch-activated Nonspecific Arousal Regulates Reset and Search

    • Complementary attentional and orienting systems
      • Novelty-sensitive nonspecific arousal: Novel events are arousing
        • Medium-term memory: Habituative transmitter gates in nonstationary hypothesis testing

Bilder und Dateien der Mindmap

  • Kohonen network / Adaptive resonance theory
  • Kohonen network / Adaptive resonance theory
  • Kohonen network / Adaptive resonance theory

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Beschreibung
Mindmap am Kohonen network / Adaptive resonance theory, erstellt von Jun Carlo Balante am 25/03/2017.
Erstellt von
Jun Carlo Balante
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