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 Learning,
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| Author(s) |
Brown, J.W. |
Bullock, D. |
Grossberg, S. |
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| Abstract |
How does the brain learn to balance between reactive and planned behaviors? The basal ganglia (BG) and frontal cortex together allow animals to learn planned behaviors that acquire rewards when prepotent reactive behaviors ... |
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Topics:
Biological Vision,
Models:
Boundary Contour System, |
| Author(s) |
Grossberg, S. |
Pinna, B. |
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| Abstract |
Coloration and figural properties of neon color spreading and the watercolor illusion are studied using phenomenal and psychophysical observations. Coloration properties of both effects can be reduced to a common limiting ... |
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Topics:
Biological Learning,
Models:
Modified ART, |
| Author(s) |
Grossberg, S. |
Yazdanbakhsh, A. |
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| Abstract |
The 3D LAMINART neural model is developed to explain how the visual cortex gives rise to 3D percepts of stratification, transparency, and neon color spreading in response to 2D pictures and 3D scenes. Such percepts are ... |
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| Categories |
Topics:
Biological Learning,
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| Author(s) |
Grossberg, S. |
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| Abstract |
The concept of attention has been used in many senses, often without clarifying how or why attention works as it does. Attention, like consciousness, is often described in a disembodied way. The present article summarizes ... |
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Topics:
Biological Vision,
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| Author(s) |
Cao, Y. |
Grossberg, S. |
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| Abstract |
A laminar cortical model of stereopsis and 3D surface perception is developed and simulated. The model describes how monocular and binocular oriented filtering interact with later stages of 3D boundary formation and surface ... |
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| Author(s) |
Gorchetchnikov, A. |
Hasselmo, M. |
Versace, M. |
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| Abstract |
Temporal relationships between neuronal firing and plasticity have received significant attention in recent decades. Neurophysiological studies have shown the phenomenon of spike-timing-dependent plasticity (STDP). Various ... |
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| Categories |
Topics:
Biological Vision,
Image Analysis,
Models:
Other, |
| Author(s) |
Carpenter, G.A. |
Chelian, S.F. |
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| Abstract |
The CEDI (Contrast Enhance / Discount the Illuminant) system models a cascade of primate color vision cells: retinal ganglion, thalamic single opponent, and two types of cortical double opponents (Figure 1). A unified model ... |
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| Categories |
Topics:
Image Analysis,
Machine Learning,
Applications:
Information Fusion,
Models:
ARTMAP, |
| Author(s) |
Carpenter, G.A. |
Martens, S. |
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| Abstract |
Classifying terrain or objects may require the resolution of conflicting information from sensors working at different times, locations, and scales, and from users with different goals and situations. Current fusion methods ... |
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| Categories |
Topics:
Biological Learning,
Models:
Distributed ART, |
| Author(s) |
Carpenter, G.A. |
Ersoy, B. |
Grossberg, S. |
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| Abstract |
How do humans and animals learn to recognize objects and events? Two classical views are that exemplars or prototypes are learned. A hybrid view is that a mixture, called rule-plus-exceptions, is learned. None of these ... |
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| Categories |
Topics:
Biological Vision,
Image Analysis,
Models:
Boundary Contour System, |
| Author(s) |
Grossberg, S. |
Mingolla, E. |
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| Abstract |
This is a review of neural network based vision modeling techniques. The models discussed are: shunting and distance-dependent networks, boundary grouping and completion models, neon color spreading models, etc. ... |
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