Articles listed below focus on analysis and applications of neural network systems originally developed by CELEST faculty, including ART, ARTMAP, and BCS/FCS.
| Categories |
Topics:
Biological Learning,
Models:
Other, |
| Author(s) |
Grossberg, S. |
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| Abstract |
An outstanding problem in psychiatry concerns how to link discoveries about the pharmacological, neurophysiological, and neuroanatomical substrates of mental disorders to the abnormal behaviors that they control. A related ... |
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| Categories |
Topics:
Biological Learning,
Models:
Other, |
| Author(s) |
Grossberg, S. |
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| Abstract |
How are our brains functionally organized to achieve adaptive behavior in a changing world? This article presents one alternative to the computer analogy that suggests brains are organized into independent modules. Evidence ... |
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| Categories |
Topics:
Biological Learning,
Models:
Other, |
| Author(s) |
Ajemian, R. |
Bullock, D. |
Grossberg, S. |
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| Abstract |
During goal-directed reaching in primates, a sensorimotor transformation generates a dynamical pattern of muscle activation. Within the context of this sensorimotor transformation, a fundamental question concerns the ... |
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| Categories |
Topics:
Biological Vision,
Machine Learning,
Models:
Distributed ART, |
| Author(s) |
Carpenter, G.A. |
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| Abstract |
Adaptive resonance is a theory of cognitive information processing which has been realized as a family of neural network models. In recent years, these models have evolved to incorporate new capabilities in the cognitive, ... |
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| Categories |
Topics:
Machine Learning,
Models:
Self Organizing Maps, |
| Author(s) |
Campos, M.M. |
Carpenter, G.A. |
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| Abstract |
This paper introduces CSOM, a continuous version of the Self-Organizing Map (SOM). The CSOM network generates maps similar to those created with the original SOM algorithm but, due to the continuous nature of the mapping, ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Other,
Models:
Fuzzy ARTMAP, |
| Author(s) |
Granger, E |
Grossberg, S. |
Lavoie, P. |
Rubin, M.A. |
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| Abstract |
The fuzzy ARTMAP neural network is used to classify data that is incomplete in one or more ways. These include a limited number of training cases, missing components, missing class labels, and missing classes. Modifications ... |
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| Categories |
Topics:
Biological Learning,
Models:
Other, |
| Author(s) |
Grossberg, S. |
Paine, R.W. |
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| Abstract |
Much sensory-motor behavior develops through imitation, as during the learning of handwriting by children. Such complex sequential acts are broken down into distinct motor control synergies, or muscle groups, whose ... |
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| Categories |
Topics:
Biological Vision,
Mathematical Foundations of Neural Networks,
Models:
Modified ART, |
| Author(s) |
Grossberg, S. |
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| Abstract |
How our brains give rise to our minds is one of the most intriguing questions in all of science. We are now living in a particularly interesting time to consider this question. This is true because, during the last decade, ... |
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| Categories |
Topics:
Biological Vision,
Models:
Boundary Contour System, |
| Author(s) |
Grossberg, S. |
Mingolla, E. |
Ross, W.D. |
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| Abstract |
The visual cortex has a laminar organization whose circuits form functional columns in cortical maps. How this laminar architecture supports visual percepts is not well understood. A neural model proposes how the laminar ... |
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| Categories |
Topics:
Biological Vision,
Machine Learning,
Models:
Boundary Contour System, |
| Author(s) |
Grossberg, S. |
Kelly, F.J. |
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| Abstract |
This article develops the FACADE theory of three-dimensional (3-D) vision to simulate data concerning how two-dimensional (2-D) pictures give rise to 3-D percepts of occluded and occluding surfaces. The theory suggests how ... |
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