CNS Articles


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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Laminar development of receptive fields, maps, and columns in visual cortex: The coordinating role of the subplate (2003)
Categories Topics: Biological Vision,
Author(s) Grossberg, S. | Seitz, A. |
Abstract How is development of cortical maps in V1 coordinated across cortical layers to form cortical columns? Previous neural models propose how maps of orientation (OR), ocular dominance (OD), and related properties develop in V1. ...

Distributed prediction and hierarchical knowledge discovery by ARTMAP neural networks (2003)
Categories Topics: Machine Learning, Applications: Information Fusion, Models: ARTMAP, Modified ART,
Author(s) Carpenter, G.A. |
Abstract Adaptive Resonance Theory (ART) neural networks model real-time prediction, search, learning, and recognition. ART networks function both as models of human cognitive information processing [1,2,3] and as neural systems for ...

Default ARTMAP (2003)
Categories Topics: Machine Learning, Models: Fuzzy ARTMAP, Modified ART,
Author(s) Carpenter, G.A. |
Abstract The default ARTMAP algorithm and its parameter values specified here define a ready-to-use general-purpose neural network system for supervised learning and ...

Resonant neural dynamics of speech perception (2003)
Categories Topics: Speech and Hearing, Models: ART 1, ART 2 / Fuzzy ART,
Author(s) Grossberg, S. |
Abstract What is the neural representation of a speech code as it evolves in time? How do listeners integrate temporally distributed phonemic information across hundreds of milliseconds, even backwards in time, into coherent ...

How does the cerebral cortex work? (2003)
Categories Topics: Biological Learning, Biological Vision,
Author(s) Grossberg, S. |
Abstract A key goal of behavioral and cognitive neuroscience is to link brain mechanisms to behavioral functions. The present article describes recent progress towards explaining how the visual cortex sees. Visual cortex, like many ...

From normal brain and behavior to schizophrenia (2003)
Categories Topics: Biological Learning,
Author(s) Grossberg, S. |
Abstract This article introduces neural models as a link between neuroscience discoveries of brain mechanisms controlling behavior and psychiatric imbalances leading to behavioral ...

Towards a theory of the laminar architecture of cerebral cortex (2003)
Categories Topics: Biological Learning, Models: Modified ART,
Author(s) Grossberg, S. | Raizada, R. |
Abstract One of the most exciting and open research frontiers in neuroscience is that of seeking to understand the functional roles of the layers of cerebral cortex. New experimental techniques for probing the laminar circuitry of ...

A neural model of how the brain represents and compares multi-digit numbers (2003)
Categories Topics: Biological Learning,
Author(s) Grossberg, S. | Repin, D. |
Abstract Both animals and humans represent and compare numerical quantities, but only humans have evolved multi-digit place-value number systems. This article develops a Spatial Number Network, or SpaN, model to explain how these ...

A neural network method for land use change classification, with application to the Nile River delta (2003)
Categories Topics: Image Analysis, Applications: Remote Sensing, Models: ARTMAP,
Author(s) Carpenter, G.A. | Gopal, S. | Shock, B.M. | Woodcock, C.E. |
Abstract Detecting and monitoring changes in conditions at the Earth?s surface are essential for understanding human impact on the environment and for assessing the sustainability of development. In the next decade, NASA will gather ...

ARTMAP neural networks for information fusion and data mining: Map production and target recognition (2003)
Categories Topics: Machine Learning, Applications: Information Fusion, Models: ARTMAP,
Author(s) Carpenter, G.A. | Parsons, O. |
Abstract The Sensor Exploitation Group of MIT Lincoln Laboratory incorporated an early version of the ARTMAP neural network as the recognition engine of a hierarchical system for fusion and data mining of registered geospatial ...

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