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:
Image Analysis,
Models:
Boundary Contour System, |
| Author(s) |
Grossberg, S. |
Kuhlmann, L. |
Mingolla, E. |
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| Abstract |
A neural model is presented of how cortical areas V1, V2, and V4 interact to convert a textured 2D image into a representation of curved 3D shape. Two basic problems are solved to achieve this: (1) Patterns of spatially ... |
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| Categories |
Topics:
Biological Vision,
Models:
Modified ART, |
| Author(s) |
Grossberg, S. |
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| Abstract |
A key goal of computational neuroscience is to link brain mechanisms to behavioral functions. The present article describes recent progress towards explaining how laminar neocortical circuits give rise to biological ... |
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| Categories |
Topics:
Biological Learning,
Models:
Modified ART, |
| Author(s) |
Grossberg, S. |
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| Abstract |
A full understanding of consciousness requires that we identify the brain processes from which conscious experiences emerge. What are these processes, and what is their utility in supporting successful adaptive behaviors? ... |
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| Categories |
Topics:
Biological Learning,
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| Author(s) |
Gorchetchnikov, A. |
Grossberg, S. |
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| Abstract |
The hippocampus participates in multiple functions, including spatial navigation, adaptive timing and declarative (notably, episodic) memory. How does it carry out these particular functions? The present article proposes ... |
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| Categories |
Topics:
Biological Vision,
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| Author(s) |
Berzhanskaya, J. |
Grossberg, S. |
Mingolla, E. |
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| Abstract |
How do visual form and motion processes cooperate to compute object motion when each process separately is insufficient? Consider, for example, a deer moving behind a bush. Here the partially occluded fragments of motion ... |
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| Categories |
Topics:
Image Analysis,
Models:
Modified ART,
Boundary Contour System, |
| Author(s) |
Bhatt, R. |
Carpenter, G.A. |
Grossberg, S. |
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| Abstract |
A neural model called dARTEX is proposed of how laminar interactions in the visual cortex may learn and recognize object texture and form boundaries. The model unifies five interacting processes: region-based texture ... |
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| Categories |
Topics:
Machine Learning,
Models:
ARTMAP,
Modified ART, |
| Author(s) |
Amis, G.P. |
Carpenter, G.A. |
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| Abstract |
Default ARTMAP combines winner-take-all category node activation during training, distributed activation during testing, and a set of default parameter values that define a ready-to-use, general-purpose neural network system ... |
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| Categories |
Topics:
Image Analysis,
Models:
Boundary Contour System,
Other, |
| Author(s) |
Carpenter, G.A. |
Gaddam, C.S. |
Mingolla, E. |
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| Abstract |
CONFIGR (CONtour FIgure GRound) is a computational model based on principles of biological vision that completes sparse and noisy image figures. Within an integrated vision/recognition system, CONFIGR posits an initial ... |
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| Categories |
Topics:
Biological Learning,
Models:
Modified ART, |
| Author(s) |
Grossberg, S. |
Seidman, D. |
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| Abstract |
What brain mechanisms underlie autism, and how do they give rise to autistic behavioral symptoms? This article describes a neural model, called the Imbalanced Spectrally Timed Adaptive Resonance Theory (iSTART) model, that ... |
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| Categories |
Topics:
Biological Vision,
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| Author(s) |
Grossberg, S. |
Hong, S. |
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| Abstract |
A neural model is proposed of how the visual system processes natural images under variable illumination conditions to generate surface lightness percepts. Previous models clarify how the brain can compute relative contrast. ... |
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