Articles listed below focus on analysis and applications of neural network systems originally developed by CELEST faculty, including ART, ARTMAP, and BCS/FCS.
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Topics:
Biological Vision,
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| Author(s) |
Grossberg, S. |
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| Abstract |
Part I of this paper describes a model for the parallel development and adult coding of neural feature detectors. It shows how any set of arbitrary spatial patterns can be recoded, or transformed, into any other spatial ... |
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Topics:
Biological Vision,
Mathematical Foundations of Neural Networks,
Models:
Other, |
| Author(s) |
Grossberg, S. |
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| Abstract |
This paper analyses a model for the parallel development and adult coding of neural feature detectors. The model was introduced in Grossberg (1976). We show how experience can retune feature detectors to respond to a ... |
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| Author(s) |
Grossberg, S. |
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| Abstract |
The Hodgkin-Huxley model for nerve impulse transmission consists of a long thin cylindrical membrane (axon) containing axoplasm and bathed in an ionic solution. If the nerve is stimulated above a threshold, the permeability ... |
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Topics:
Mathematical Foundations of Neural Networks,
Models:
Other, |
| Author(s) |
Grossberg, S. |
Levine, D. |
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| Abstract |
This paper studies the global dynamics of neurons, or neuron populations,in a recurrent on-center off-surround anatomy undergoing nonlinearshunting interactions. In such an anatomy, a given population excitesitself and ... |
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Topics:
Biological Vision,
Models:
Other, |
| Author(s) |
Grossberg, S. |
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| Abstract |
Developmental mechanisms for tuning of visual cortex are derived from adult learning mechanisms: an adaptational property of shunting on-center off-surround networks that prevents saturation of parallel processed patterns at ... |
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Topics:
Mathematical Foundations of Neural Networks,
Models:
Other, |
| Author(s) |
Grossberg, S. |
Ellias, S.A. |
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| Abstract |
The transformation of spatial patterns and their storage in short term memory by shunting neural networks are studied herein. Various mechanisms are described for real-time regulation of the amount of contrast with which a ... |
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Topics:
Biological Learning,
Mathematical Foundations of Neural Networks,
Models:
Other, |
| Author(s) |
Grossberg, S. |
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| Abstract |
This article reviews results chosen from the theory of embedding fields. Embedding field theory discusses mechanisms of pattern discrimination and learning in a psychophysiological setting. It is derived from psychological ... |
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Topics:
Biological Learning,
Mathematical Foundations of Neural Networks,
Models:
Other, |
| Author(s) |
Grossberg, S. |
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| Abstract |
A model of the nonlinear dynamics of reverberating on-center off-surround networks of nerve cells, or of cell populations, is analysed. The on-center off-surround anatomy allows patterns to be processed across populations ... |
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Topics:
Biological Learning,
Mathematical Foundations of Neural Networks,
Applications:
Other,
Models:
Other, |
| Author(s) |
Grossberg, S. |
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| Abstract |
Neural networks are introduced which can be taught by classical or instrumental conditioning to fire in response to arbitrary learned classes of patterns. The filters of output cells are biased by presetting cells whose ... |
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| Categories |
Topics:
Biological Learning,
Mathematical Foundations of Neural Networks,
Models:
Other, |
| Author(s) |
Grossberg, S. |
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| Abstract |
Quantitative neural networks are derived from psychological postulates about punishment and avoidance. The classical notion that drive reduction is reinforcing is replaced by a precise physiological altetAative akin to ... |
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