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 Vision,
Models:
Other, |
| Author(s) |
Grossberg, S. |
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| Abstract |
The organization of neocortex into layers is one of its most salient anatomical features. These layers include circuits that form functional columns in cortical maps. A major unsolved problem concerns how bottom-up, ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Remote Sensing,
Other,
Models:
ARTMAP,
Fuzzy ARTMAP, |
| Author(s) |
Granger, E |
Grossberg, S. |
Lavoie, P. |
Rubin, M.A. |
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| Abstract |
A neural network recognition and tracking system is proposed for classification of radar pulses in autonomous Electronic Support Measure systems. Radar type information is considered with position-specific information from ... |
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| Categories |
Topics:
Biological Learning,
Applications:
Other,
Models:
Other, |
| Author(s) |
Ajemian, R. |
Bullock, D. |
Grossberg, S. |
|
| Abstract |
This article outlines a methodology for investigating the coordinate systems by which movement variables are encoded in the firing rates of individual motor cortical neurons. Recent neurophysiological experiments have probed ... |
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| Categories |
Topics:
Biological Learning,
Machine Learning,
Models:
ARTMAP,
Distributed ART, |
| Author(s) |
Carpenter, G.A. |
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| Abstract |
Real-time neural-network models provide a conceptual framework for formulating questions about the nature of cognition, an architectural framework for mapping cognitive functions to brain regions, a semantic framework for ... |
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| Categories |
Topics:
Biological Learning,
Biological Vision,
Models:
Other, |
| Author(s) |
Grossberg, S. |
Williamson, J.R. |
|
| Abstract |
A neural model suggests how horizontal and interlaminar connections in visual cortical areas V1 and V2 develop within a laminar cortical architecture and give rise to adult visual percepts. The model suggests how mechanisms ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Remote Sensing,
Models:
ARTMAP, |
| Author(s) |
Carpenter, G.A. |
Gopal, S. |
Shock, B.M. |
Woodcock, C.E. |
|
| Abstract |
The ability to detect and monitor changes in land use is essential for assessment of the sustainability of development. In the next decade, NASA will gather high-resolution multi-spectral and multi-temporal data, which could ... |
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| Categories |
Topics:
Image Analysis,
Machine Learning,
Models:
Other, |
| Author(s) |
Campos, M.M. |
Carpenter, G.A. |
|
| Abstract |
This paper introduces S-TREE (Self-Organizing Tree), a family of models that use unsupervised learning to construct hierarchical representations of data and online tree-structured vector quantizers. The S-TREE1 model, which ... |
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| Categories |
Topics:
Biological Learning,
Models:
Other, |
| Author(s) |
Grossberg, S. |
Okatan, M. |
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| Abstract |
Experiments by Markram and Tsodyks (Nature, 382 (1996) 807?810) have suggested that Hebbian pairing in cortical pyramidal neurons potentiates or depresses the transmission of a subsequent pre-synaptic spike train at ... |
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| Categories |
Topics:
Machine Learning,
Speech and Hearing,
Models:
Modified ART, |
| Author(s) |
Grossberg, S. |
Myers, C.W. |
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| Abstract |
How do listeners integrate temporally distributed phonemic information into coherent representations of syllables and words? For example, increasing the silence interval between the words "gray chip" may result in the ... |
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| Categories |
Topics:
Biological Learning,
Models:
Other, |
| Author(s) |
Grossberg, S. |
|
| Abstract |
This article suggests how brain mechanisms of learning, attention, and volition may give rise to hallucinations during schizophrenia and other mental disorders. The article suggests that normal learning and memory are ... |
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