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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Self-Organizing information fusion and hierarchical knowledge discovery: a new framework using ARTMAP neural networks (2005)
Categories Topics: Machine Learning, Applications: Information Fusion, Remote Sensing, Models: ARTMAP,
Author(s) Carpenter, G.A. | Martens, S. | Ogas, O. J. |
Abstract Classifying novel terrain or objects from sparse, complex data may require the resolution of conflicting information from sensors working at different times, locations, and scales, and from sources with different goals and ...

DISCOV: A Neural Model of Colour Vision, with Applications to Image Processing and Classification (2005)
Categories Topics: Image Analysis, Machine Learning, Applications: Information Fusion,
Author(s) Carpenter, G.A. | Chelian, S.F. |
Abstract The DISCOV (DImensionless Shunting COlour Vision) system models a cascade of primate colour vision cells: retinal ganglion, thalamic single opponent, and two classes of cortical double opponents. A unified model formalism ...

Fast synchronization of perceptual grouping in laminar visual cortical circuits (2004)
Categories Topics: Biological Vision, Models: Boundary Contour System,
Author(s) Grossberg, S. | Yazdanbakhsh, A. |
Abstract Perceptual grouping is well known to be a fundamental process during visual perception, notably grouping across scenic regions that do not receive contrastive visual inputs. Illusory contours are a classical example of such ...

A quantitative evaluation of the AVITEWRITE model of handwriting learning (2004)
Categories Topics: Image Analysis, Applications: Character Recognition, Models: Other,
Author(s) Grossberg, S. | Paine, R.W. | Van Gemmert, A.W.A. |
Abstract Much sensory-motor behavior develops through imitation, as during the learning of handwriting by children. Such complex sequential acts are broken down into distinct motor control synergies, or muscle groups, whose ...

A neuromorphic model for achromatic and chromatic surface representation of natural images (2004)
Categories Topics: Biological Vision,
Author(s) Grossberg, S. | Hong, S. |
Abstract This study develops a neuromorphic model of human lightness perception that is inspired by how the mammalian visual system is designed for this function. It is known that biological visual representations can adapt to a ...

ARTSTREAM: A neural network model of auditory scene analysis and source segregation (2004)
Categories Topics: Machine Learning, Speech and Hearing, Models: Modified ART,
Author(s) Cohen, G.M. | Govindarajan, K.K. | Grossberg, S. | Wyse, L.L. |
Abstract Multiple sound sources often contain harmonics that overlap and may be degraded by environmental noise. The auditory system is capable of teasing apart these sources into distinct mental objects, or streams. Such an ...

Predicting the exchange traded fund DIA with a combination (2004)
Categories Topics: Machine Learning, Applications: Financial Time Series Predictions, Models: Genetic Algorithms,
Author(s) Bhatt, R. | Hinds, O. | Shiffer, M. | Versace, M. |
Abstract We evaluate the performance of a heterogeneous mixture of neural network algorithms for predicting the exchange-traded fund DIA. A genetic algorithm is utilized to find the best mixture of neural networks, the topology of ...

Biologically Inspired Approaches to Automated Feature Extraction and Target Recognition (2004)
Categories Topics: Biological Vision, Machine Learning, Models: Other,
Author(s) Carpenter, G.A. | Martens, S. | Mingolla, E. | Ogas, O. J. | Sai, C. |
Abstract Ongoing research at Boston University has produced computational models of biological vision and learning that embody a growing corpus of scientific data and predictions. Vision models perform long-range grouping and ...

A laminar cortical model for 3D perception of slanted and curved surfaces and of 2D images (2004)
Categories Topics: Biological Vision,
Author(s) Grossberg, S. | Swaminathan, G. |
Abstract A model of laminar visual cortical dynamics proposes how 3D boundary and surface representations arise from viewing slanted and curved 3D objects and 2D images. The 3D boundary representations emerge from non-classical ...

PointMap: A real-time memory-based learning system with on-line and post-training pruning (2004)
Categories Topics: Machine Learning, Models: Other,
Author(s) Carpenter, G.A. | Kopco, N. |
Abstract A memory-based learning system called PointMap is introduced. The algorithm, an extension of Condensed Nearest Neighbor, evaluates the information value of coding nodes during training, and uses this index to prune ...

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