Self-organized formation of topologically correct feature maps
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Citation edge evidence
- Deep learning in neural networks: An overview→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- The self-organizing map→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- Continual lifelong learning with neural networks: A review→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- Simplified neuron model as a principal component analyzer→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- Computing with Neural Circuits: A Model→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- Essentials of the self-organizing map→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- A Growing Neural Gas Network Learns Topologies→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- Optimal unsupervised learning in a single-layer linear feedforward neural network→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- 'Neural-gas' network for vector quantization and its application to time-series prediction→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- GTM: The Generative Topographic Mapping→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- Self-organized formation of topologically correct feature maps→Simplified neuron model as a principal component analyzerLegacy edge — source detail unavailable
- Self-organized formation of topologically correct feature maps→Principles of Neurodynamics: Perceptrons and the Theory of Brain MechanismsLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→A Growing Neural Gas Network Learns TopologiesLegacy edge — source detail unavailable
- Essentials of the self-organizing map→The self-organizing mapLegacy edge — source detail unavailable
- Essentials of the self-organizing map→GTM: The Generative Topographic MappingLegacy edge — source detail unavailable
- 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Principles of Neurodynamics: Perceptrons and the Theory of Brain MechanismsLegacy edge — source detail unavailable
- Optimal unsupervised learning in a single-layer linear feedforward neural network→Simplified neuron model as a principal component analyzerLegacy edge — source detail unavailable
- A Growing Neural Gas Network Learns Topologies→Simplified neuron model as a principal component analyzerLegacy edge — source detail unavailable
- Continual lifelong learning with neural networks: A review→A Growing Neural Gas Network Learns TopologiesLegacy edge — source detail unavailable
- Continual lifelong learning with neural networks: A review→'Neural-gas' network for vector quantization and its application to time-series predictionLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Simplified neuron model as a principal component analyzer | 1982 | 2,353 |
| Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms | 1963 | 1,828 |
What cites it, inside the corpus
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Topics
| Neural Networks and Applications | Computer Science |
| Advanced Memory and Neural Computing | Engineering |
| Neural dynamics and brain function | Neuroscience |
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- supports24 reference(s) recorded.
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