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,
Machine Learning,
Models:
Boundary Contour System, |
| Author(s) |
Grossberg, S. |
Raizada, R. |
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| Abstract |
Recent neurophysiological studies have shown that primary visual cortex, or V1, does more than passively process image features using the feedforward filters suggested by Hubel and Wiesel. It also uses horizontal ... |
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Topics:
Machine Learning,
Models:
Distributed ART,
Modified ART, |
| Author(s) |
Carpenter, G.A. |
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| Abstract |
In order to benefit from the advantages of localist coding neural models that feature winner-take-all representations at the top level of a network hierarchy must still solve the computational problems inherent in ... |
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| Author(s) |
Grossberg, S. |
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| Abstract |
ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include airplane design and manufacturing, automatic target recognition, ... |
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Topics:
Machine Learning,
Applications:
Medical Diagnosis,
Models:
Distributed ART, |
| Author(s) |
Carpenter, G.A. |
Milenova, B. |
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| Abstract |
ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include airplane design and manufacturing, automatic target recognition, ... |
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| Categories |
Topics:
Image Analysis,
Models:
Modified ART,
Boundary Contour System, |
| Author(s) |
Grossberg, S. |
Williamson, J.R. |
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| Abstract |
A self-organizing ARTEX model is developed to categorize and classify textured image regions. ARTEX specializes the FACADE model of how the visual cortex sees, and the ART model of how temporal and prefrontal cortices ... |
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Topics:
Biological Vision,
Image Analysis,
Models:
Other, |
| Author(s) |
Grossberg, S. |
Mingolla, E. |
Pack, C. |
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| Abstract |
Cells in the dorsal medial superior temporal cortex (MSTd) process optic flow generated by self-motion during visually guided navigation. A neural model shows how interactions between well-known neural mechanisms (log polar ... |
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Topics:
Biological Vision,
Models:
Other, |
| Author(s) |
Grossberg, S. |
Kelly, F.J. |
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| Abstract |
How does the visual cortex combine information from both eyes to generate perceptual representations of object surfaces? Important clues about this process may be derived from data about the perceived brightness of surface ... |
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| Categories |
Topics:
Machine Learning,
Speech and Hearing,
Models:
ART 1,
Modified ART, |
| Author(s) |
Grossberg, S. |
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| Abstract |
The processes whereby our brains continue to learn about a changing world in a stable fashion throughout life are proposed to lead to conscious experiences. These processes include the learning of top-down expectations, the ... |
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Topics:
Biological Vision,
Models:
Other, |
| Author(s) |
Grossberg, S. |
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| Abstract |
Figure-ground perception enables us to perceive objects that are distinct from one another and from their scenic background. The remarkable nature of figure-ground perception may be better appreciated when we reflect that ... |
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| Categories |
Topics:
Biological Vision,
Models:
Other, |
| Author(s) |
Gancarz, G. |
Grossberg, S. |
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| Abstract |
Multiple brain learning sites are needed to calibrate the accuracy of saccadic eye movements. This is true because saccades can be made reactively to visual cues, attentively to visual or auditory cues, or planned in ... |
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