Browse by Citation

Note: Authors are listed alphabetically, not necessarily in bibliographic order.

Grossberg, S., A theory of human memory: Self-organization and performance of sensory-motor codes, maps, and plans, In R. Rosen and F. Snell (Eds.), Progress in theoretical biology, Volume 5. New York: Academic Press, pp. 233-374. (1978).

Grossberg, S., Classical and instrumental learning by neural networks, Progress in theoretical biology. New York: Academic Press, pp. 51-141. (1974).

Grossberg, S., Bursting phenomena in excitable membranes, SIAM Journal on Applied Mathematics, 36, 334-372. (1979).

Grossberg, S., Gated dipoles: Photoreceptors and circadian rhythms, Behavioral Processes, 9, 90- 91. (1984).

Grossberg, S., Book review: Mathematical Models of the Circadian Sleep-Wake Cycle, Martin C. Moore-Ede & Charles A. Czeisler (Eds.), Mathematical Biosciences, 79, 231-233. (1986).

Grossberg, S., Nerve impulse equations, In P. Hilton (Ed.), Structural Stability, The Theory of Catastrophes, and Applications in the Sciences, Springer Series: Lecture Notes in Mathematics, 525, 58-76. (1976).

Grossberg, S., Normal and abnormal signal patterns in nerve cells, In S. Grossberg (Ed.), Mathematical Psychology and Psychophysiology, AMS/SIAM Symposium Series, 13, 49-90. (1981).

Grossberg, S., Periodic solutions of nerve impulse equations, Journal of Mathematical Analysis and Applications, 58, 152-173. (1977).

Grossberg, S., A geometric approach to singular perturbation problems with applications to nerve impulse equations, Journal of Differential Equations, 23, 335-367. (1977).

Grossberg, S., A mathematical analysis of excitable membrane phenomena, In R. Trappl, G.J. Klir, & L. Ricciardi (Eds.), Progress in Cybernetics and Systems Research: General Systems Methodology, Fuzzy Mathematics and Fuzzy Systems, Biocybernetics and Theoretical Neurobiology, New York: Halsted Press, 3, 58- 76. (1978).

Grossberg, S., Adaptive pattern classification and universal recoding: I Parallel development and coding of neural feature detectors, Biol Cybern Volume: 23 Issue: 3 Pages: 121-34 (1976).

Grossberg, S., Adaptive pattern classification and universal recoding: II Feedback, expectation, olfaction, illusions, Biol Cybern Volume: 23 Issue: 4 Pages: 187-202 (1976).

Grossberg, S., Nonlinear difference-differential equations in prediction and learning theory, Proceedings of the National Academy of Sciences, 58, 1329-1334 (1967).

Grossberg, S., Consciousness CLEARS the mind, Neural Networks, 20: 1040-1053 (2007).

Grossberg, S., Towards a unified theory of neocortex: Laminar cortical circuits for vision and cognition, Computational Neuroscience: From Neurons to Theory and Back Again, pp. 79-104 (2007).

Grossberg, S., Linking attention to learning, expectation, competition, and consciousness, Neurobiology of attention, pp. 652-662 (2005).

Grossberg, S., Linking the laminar circuits of visual cortex to visual perception: Development, grouping, and attention, Neuroscience and Biobehavioral Reviews, 25 , 513-526 (2001).

Grossberg, S., The complementary brain: Unifying brain dynamics and modularity, Trends in Cognitive Sciences, 4, 233-246 (2000).

Grossberg, S., The imbalanced Brain: From normal behavior to schizophrenia, Biological Psychiatry, 48, 81-98 (2000).

Grossberg, S., How hallucinations may arise from brain mechanisms of learning, attention, and volition, Journal of the International Neuropsychological Society, 6, 579-588 (2000).

Grossberg, S., Figure-ground separation by visual cortex, Encyclopedia of neuroscience, 716-721 (1999).

Grossberg, S., The link between brain learning, attention, and consciousness, Consciousness and Cognition, 8, 1-44 (1999).

Grossberg, S., Cortical dynamics of three-dimensional figure-ground perception of two-dimensional figures, Psychological Review, 104 , 618-658 (1997).

Grossberg, S., 3-D vision and figure-ground separation by visual cortex, Perception and Psychophysics , 55(1) , 48-121 (1994).

Grossberg, S., A solution of the figure-ground problem for biological vision, Neural Networks, 6, 463-483 (1993).

Grossberg, S., Why do parallel cortical systems exist for the perception of static form and moving form?, Perception and Psychophysics, 49, 117-141 (1991).

Grossberg, S., Neural FACADES: Visual representations of static and moving form-and-color-and-depth, Mind and Language (Special issue on Understanding Vision), 5, 411-456 (1990).

Grossberg, S., Competitive learning: From interactive activation to adaptive resonance, Cognitive Science, 11, 23-63 (1987).

Grossberg, S., Cortical dynamics of three-dimensional form, color, and brightness perception, I: Monocular theory, Perception and Psychophysics, 41, 87-116 (1987).

Grossberg, S., Cortical dynamics of three-dimensional form, color, and brightness perception, II: Binocular theory, Perception and Psychophysics, 41, 117-158 (1987).

Grossberg, S., Outline of a theory of brightness, color, and form perception, Trends in mathematical psychology, pp. 59-85 (1984).

Grossberg, S., Some normal and abnormal behavioral syndromes due to transmitter gating of opponent processes, Biological Psychiatry, 19, 1075-1118 (1984).

Grossberg, S., Unitization, automaticity, temporal order, and word recognition, Cognition and Brain Theory, 7, 263-283 (1984).

Grossberg, S., Adaptation and gain normalization: A comment on Ullman and Schechtman (1982), Proceedings of the Royal Society of London (B), 219, 471-473 (1983).

Grossberg, S., The quantized geometry of visual space: The coherent computation of depth, form, and lightness, The Behavioral and Brain Sciences, 6, 625-692 (1983).

Grossberg, S., Processing of expected and unexpected events during conditioning and attention: A psychophysiological theory, Psychological Review, 89, 529-572 (1982).

Grossberg, S., Biological competition: Decision rules, pattern formation, and oscillations, Proceedings of the National Academy of Sciences, 77, 2338-2342 (1980).

Grossberg, S., Intracellular mechanisms of adaptation and self-regulation in self-organizing networks: The role of chemical transducers, Bulletin of Mathematical Biology, 42, 365-396 (1980).

Grossberg, S., Behavioral contrast in short-term memory: Serial binary memory models or parallel continuous memory models?, Journal of Mathematical Psychology, 3, 199-219 (1978).

Grossberg, S., Competition, decision, and consensus, Journal of Mathematical Analysis and Applications, 66, 470-493 (1978).

Grossberg, S., Decisions, patterns, and oscillations in nonlinear competitive systems with applications to Volterra-Lotka systems, Journal of Theoretical Biology, 73, 101-130 (1978).

Grossberg, S., Do all neural models really look alike?, Psychological Review, 85, 592-596. (1978).

Grossberg, S., On the development of feature detectors in the visual cortex with applications to learning and reaction-diffusion systems, Biological Cybernetics, 21, 145-159 (1975).

Grossberg, S., Contour enhancement, short-term memory, and constancies in reverberating neural networks, Studies in Applied Mathematics, 52, 213-257 (1973).

Grossberg, S., A neural theory of punishment and avoidance, I: Qualitative theory, Mathematical Biosciences, 15, 39-67 (1972).

Grossberg, S., A neural theory of punishment and avoidance, II: Quantitative theory, Mathematical Biosciences, 15, 253-285 (1972).

Grossberg, S., Neural expectation: Cerebellar and retinal analogs of cells fired by learnable or unlearned pattern classes, Kybernetik, 10, 49-57 (1972).

Grossberg, S., Embedding fields: Underlying philosophy, mathematics, and applications to psychology, physiology, and anatomy, Journal of Cybernetics, 1, 28-50 (1971).

Grossberg, S., On the dynamics of operant conditioning, Journal of Theoretical Biology, 33, 225-255 (1971).

Grossberg, S., Pavlovian pattern learning by nonlinear neural networks, Proceedings of the National Academy of Sciences, 68, 828-831 (1971).

Grossberg, S., Neural pattern discrimination, Journal of Theoretical Biology, 27, 291-337 (1970).

Grossberg, S., Some networks that can learn, remember, and reproduce any number of complicated space-time patterns, II., Studies in Applied Mathematics, 49, 135-166 (1970).

Grossberg, S., Embedding fields: A theory of learning with physiological implications, Journal of Mathematical Psychology, 6, 209-239 (1969).

Grossberg, S., Learning and energy-entropy dependence in some nonlinear functional-differential systems, Bulletin of the American Mathematical Society, 75, 1238-1242 (1969).

Grossberg, S., On learning and energy-entropy dependence in recurrent and nonrecurrent signed networks, Journal of Statistical Physics, 1, 319-350 (1969).

Grossberg, S., On learning, information, lateral inhibition, and transmitters, Mathematical Biosciences, 4, 255-310 (1969).

Grossberg, S., On learning of spatiotemporal patterns by networks with ordered ordered sensory and motor components, I: Excitatory components of the cerebellum, Studies in Applied Mathematics, 48, 105-132 (1969).

Grossberg, S., On the global limits and oscillations of a system of nonlinear differential equations describing a flow of a probabilistic network, Journal of Differential Equations, 5, 531-563 (1969).

Grossberg, S., On the production and release of chemical transmitters and related topics in cellular control, Journal of Theoretical Biology, 22, 325-364 (1969).

Grossberg, S., On the variational systems of some nonlinear difference-differential equations, Journal of Differential Equations, 6, 544-577 (1969).

Grossberg, S., Some networks that can learn, remember, and reproduce any number of complicated space-time patterns, I., Journal of Mathematics and Mechanics, 19, 53-91 (1969).

Grossberg, S., A prediction theory for some nonlinear functional-differential equations, I: Learning of lists, Journal of Mathematical Analysis and Applications, 21, 643-694 (1968).

Grossberg, S., A prediction theory for some nonlinear functional-differential equations, II: Learning of patterns, Journal of Mathematical Analysis and Applications, 22, 490-522 (1968).

Grossberg, S., Global ratio limit theorems for some nonlinear functional differential equations, I, Bulletin of the American Mathematical Society, 74, 93-100 (1968).

Grossberg, S., Global ratio limit theorems for some nonlinear functional differential equations, II, Bulletin of the American Mathematical Society, 74, 101-105 (1968).

Grossberg, S., Some nonlinear networks capable of learning a spatial pattern of arbitrary complexity, Proceedings of the National Academy of Sciences, 59 , 368-372 (1968).

Grossberg, S., Some physiological and biochemical consequences of psychological postulates, Proceedings of the National Academy of Sciences, 60, 758-765 (1968).

Grossberg, S., A psychophysiological theory of reinforcement, drive, motivation, and attention, Journal of Theoretical Neurobiology, 1, 286-369 (1982).

Gupta, S.D. , Prasad, V.S.S., Photometric clustering of regenerated plants of gladiolus by neural networks and its biological validation, COMPUTERS AND ELECTRONICS IN AGRICULTURE Volume: 60 Issue: 1 Pages: 8-17 (2008).

Gupta, S.D. , Prasad, V.S.S., Trichromatic sorting of in vitro regenerated plants of gladiolus using adaptive resonance theory, CURRENT SCIENCE Volume: 87 Issue: 3 Pages: 348-353 (2004).

Han, T. , Kim, Y. , Yang, B.S., Integration of ART-Kohonen neural network and case-based reasoning for intelligent fault diagnosis, EXPERT SYSTEMS WITH APPLICATIONS Volume: 26 Issue: 3 Pages: 387-395 (2004).

Hanai, T. , Honda, H. , Kobayashi, T. , Tomida, S., Analysis of expression profile using fuzzy adaptive resonance theory, Bioinformatics, vol.18 (9), 1073-1083. (2003).

Haq, A.N. , Venkumar, P., Fractional cell formation in group technology using modified ART1 neural networks, Volume 28, Numbers 7-8 (2006).

Haq, A.N. , Venkumar, P., Manufacturing cell formation using modified ART1 networks, INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY Volume: 26 Issue: 7-8 Pages: 909-916 (2005).

Harrison, G.A. , Turischev, A., Methods and system of monitoring and prognostics, Patent number: 7277823 Issue date: October 2, 2007 (2007).

Harrison, G.A., Neural network based analysis system for vibration analysis and condition monitoring, Patent number: 6301572 Issue date: Oct 9, 2001 (1998).

Harrison, R.F. , Lim, C.P., Online pattern classification with multiple neural network systems: An experimental study, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS Volume: 33 Issue: 2 Pages: 235-247 (2003).

Harrison, R.F. , Marriott, S., A modified fuzzy ARTMAP architecture for the approximation of noisy mappings, NEURAL NETWORKS Volume: 8 Issue: 4 Pages: 619-641 (1995).

Hasegawa, T. , Honda, H. , Nemoto, T. , Takahashi, H. , Yoshida, T., Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive resonance theory (PART) filtering method, BMC BIOINFORMATICS Volume: 7 Article Number: 399 (2006).

He, J. , Tan, A.H. , Tan, C.L., Modified ART 2A growing network capable of generating a fixed number of nodes, IEEE TRANSACTIONS ON NEURAL NETWORKS Volume: 15 Issue: 3 Pages: 728-737 (2004).

Hirsbrunner, B. , PerezUribe, A., Learning and Foraging in Robot-bees, SAB2000 Proceedings Supplement Book, Meyer, Berthoz, Floreano, Roitblat and Wilson (Eds), Published by International Society for Adaptive Behavior, Honolulu, 2000, pp. 185-194. (2000).

Ho, C.S. , Liou, J.J., DIGITAL VLSI CIRCUIT-DESIGN AND SIMULATION OF AN ADAPTIVE RESONANCE THEORY NEURAL-NETWORK, INTERNATIONAL JOURNAL OF ELECTRONICS Volume: 79 Issue: 2 Pages: 151-162 (1995).

Hoffberg, S.M. , Hawkins, S., Roles and representations of systematic fine phonetic detail in speech understanding, JOURNAL OF PHONETICS Volume: 31 Issue: 3-4 Pages: 373-405 (2003).

Hoffberg, S.M. , HoffbergBorghesani, L.I., Ergonomic man-machine interface incorporating adaptive pattern recognition based control system, Patent number: 7136710 Issue date: November 14, 2006 (2006).

Honda, H. , Kato, N. , Kobayashi, T., Screening of stress enhancer based on analysis of gene expression profiles: Enhancement of hyperthermia-induced tumor necrosis by an MMP-3 inhibitor, CANCER SCIENCE Volume: 94 Issue: 7 Pages: 644-649 (2003).

Honda, H. , Kawamura, T. , Takahashi, H., Proposal of new gene filtering method, BagPART, for gene expression analysis with small sample, JOURNAL OF BIOSCIENCE AND BIOENGINEERING Volume: 105 Issue: 1 Pages: 81-84 (2008).

Honda, H. , Kobayashi, T. , Takahashi, H. , Murase, Y., New cancer diagnosis modeling using boosting and projective adaptive resonance theory with improved reliable index, BIOCHEMICAL ENGINEERING JOURNAL Volume: 33 Issue: 2 Pages: 100-109 (2007).

Honda, H. , Kobayashi, T. , Takahashi, H. , Tomida, S., Inference of common genetic network using fuzzy adaptive resonance theory associated matrix methods, JOURNAL OF BIOSCIENCE AND BIOENGINEERING Volume: 96 Issue: 2 Pages: 154-160 (2003).

Honda, H. , Kobayashi, T. , Takahashi, H., Construction of robust prognostic predictors by using projective adaptive resonance theory as a gene filtering method, Bioinformatics, Vol. 21, 179-186 (2005).

Honda, H. , Takahashi, H., Modified signal-to-noise: a new simple and practical gene filtering approach based on the concept of projective adaptive resonance theory (PART) filtering method, BIOINFORMATICS Volume: 22 Issue: 13 Pages: 1662-1664 (2006).

Hopke, P. , Prather, K.A. , Zhao, W.X. , Qin, X.Y., Predicting bulk ambient aerosol compositions from ATOFMS data with ART-2a and multivariate analysis, ANALYTICA CHIMICA ACTA Volume: 549 Issue: 1-2 Pages: 179-187 (2005).

Hopke, P. , Prather, K.A. , Zhao, W.X., Comparison of two cluster analysis methods using single particle mass spectra, ATMOSPHERIC ENVIRONMENT Volume: 42 Issue: 5 Pages: 881-892 (2008).

Hopke, P. , Xie, Ying, Airborne Particle Classification with a Combination of Chemical Composition and Shape Index Utilizing an Adaptive Resonance Artificial Neural Network, Environ. Sci. Technol., 28, 1921-1928 (1994).

Hruska, S.I. , Katholi, C.R. , LeBlanc, C. , Unnasch, T.R., DNA sequence analysis using hierarchical ART-based classification networks, Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, AAAI Press, Menlo Park, CA. (1996).

Hsieh, K.L. , Yang, I.C., Incorporating PCA and fuzzy-ART techniques into achieve organism classification based on codon usage consideration, COMPUTERS IN BIOLOGY AND MEDICINE Volume: 38 Issue: 8 Pages: 886-893 (2008).

Hsieh, K.L., The application of clustering analysis for the critical areas on TFT-LCD panel, EXPERT SYSTEMS WITH APPLICATIONS Volume: 34 Issue: 2 Pages: 952-957 (2008).

Hsu, C.C. , Huang, Y.P., Incremental clustering of mixed data based on distance hierarchy, EXPERT SYSTEMS WITH APPLICATIONS Volume: 35 Issue: 3 Pages: 1177-1185 (2008).

Hu, D.W. , Jia. P, , Yin, J.S. , Zhou, Z.T., Retrograde adaptive resonance theory based on the role of nitric oxide in long-term potentiation, JOURNAL OF COMPUTATIONAL NEUROSCIENCE Volume: 23 Issue: 1 Pages: 129-141 (2007).

Huang, H.H. , Knapp, G.M. , Lin, C.C. , Lin, S.S. , Spoerre, J.K. , Wang, H.P., Machine fault diagnostics system and method, Patent number: 5566092 Issue date: Oct 15, 1996 (1996).

Huang, H.H. , Knapp, G.M. , Lin, S.S. , Wang, H.P., Supervised training of a neural network, Patent number: 5566273 Issue date: October 15, 1996 (1996).