Publications > Articles

1976 - 1984

1. Carpenter, G.A. (1976). 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.
2. Carpenter, G.A. (1976). Models of excitable membrane phenomena. Brain Theory Newsletter, March, 42‑44.
3. Carpenter, G.A. (1977). A geometric approach to singular perturbation problems with applications to nerve impulse equations. Journal of Differential Equations, 23(3), 335‑367.     
   http://dx.doi.org/10.1016/0022-0396(77)90116-4
4. Carpenter, G.A. (1977). Periodic solutions of nerve impulse equations. Journal of Mathematical Analysis and Applications, 58(1), 152‑173. http://dx.doi.org/10.1016/0022-247X(77)90235-9
5. Carpenter, G.A. (1978). 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.
6. Carpenter, G.A. & Knapp, V. (1978). An analysis of the mammalian ventricular action potential. Journal of Mathematical Biology, 6, 305‑316.
7. Carpenter, G.A. (1979). Bursting phenomena in excitable membranes. SIAM Journal on Applied Mathematics, 36, 334‑372. PDF | JSTOR
8. Carpenter, G.A. (1981). Normal and abnormal signal patterns in nerve cells. In S. Grossberg (Ed.), Mathematical Psychology and Psychophysiology, AMS/SIAM Symposium Series, 13, 49‑90.
9. Carpenter, G.A. & Grossberg, S. (1981). Adaptation and transmitter gating in vertebrate photoreceptors. Journal of Theoretical Neurobiology, 1, 1‑42.   Reprinted in: S. Grossberg (Ed.) (1987) The Adaptive Brain. Amsterdam: North Holland.
10. Ayers, J.L., Carpenter, G.A., Currie, S., & Kinch, J. (1983). Which behavior does the lamprey central motor program mediate? Science, 221, 1312‑1314.
11. Carpenter, G.A. & Grossberg, S. (1983). Dynamic models of neural systems: Propagated signals, photoreceptor transduction, and circadian rhythms. In J.P.E. Hodgson (Ed.), Oscillations in Mathematical Biology, Springer Series: Lecture Notes in Biology, 51, 102‑196.
12. Carpenter, G.A. & Grossberg, S. (1983). A neural theory of circadian rhythms: The gated pacemaker. Biological Cybernetics, 48, 35‑59. Reprinted in: S. Grossberg (Ed.) (1987) The Adaptive Brain, Amsterdam: North Holland.
13. Carpenter, G.A. (1983). A comparative analysis of structure and chaos in models of single nerve cells and circadian rhythms. In E. Basar, H. Flohr, H. Haken, & A.J. Mandell (Eds.), Synergetics of the Brain, Springer Series in Synergetics, 23, 311‑329.
14. Carpenter, G.A. (1984). Gated dipoles: Photoreceptors and circadian rhythms. Behavioral Processes, 9, 90‑91.
15. Carpenter, G.A. & Grossberg, S. (1984). A neural theory of circadian rhythms: Aschoff’s rule in diurnal and nocturnal mammals. American Journal of Physiology (Regulatory, Integrative and Comparative Physiology), 247, R1067‑R1082. Reprinted in: S. Grossberg (Ed.) (1987) The Adaptive Brain, Amsterdam: North Holland.
    
    1985 - 1987
16. Carpenter, G.A. & Grossberg, S. (1985). Neural dynamics of circadian rhythms: The hypothalamic pacemaker. In J. Eisenfeld & C. DeLisi (Eds.), Mathematics and Computers in Biomedical Applications, Elsevier Science Publishers (North‑Holland), 79‑102.
17. Carpenter, G.A. & Grossberg, S. (1985). A neural theory of circadian rhythms: Split rhythms, after‑effects, and motivational interactions. Journal of Theoretical Biology, 113(1), 163‑223. Reprinted in: S. Grossberg (Ed.) (1987) The Adaptive Brain, Amsterdam: North Holland.   
    http://dx.doi.org/10.1016/S0022-5193(85)80083-7
18. Carpenter, G.A. (1985). The non‑parametric influence of light on mammalian circadian rhythms. In B.D. Sleeman & R.J. Jarvis (Eds.), Ordinary and Partial Differential Equations, Springer Series: Lecture Notes in Mathematics, 1151, 90‑108.
19. Carpenter, G.A. (1985). The circadian activity rhythm of mammals: A comparison of models and experiments. In L. Rensing & N.I. Jaeger (Eds.), Temporal Order: Oscillations in Heterogeneous Chemical and Biological Systems, Springer Series in Synergetics, 29, 263‑272.
20. Carpenter, G.A. & Grossberg, S. (1985). Category learning and adaptive pattern recognition: A neural network model. Proceedings of the 3rd Army Conference on Applied Mathematics and Computing, ARO Report 86‑1, 37‑56.
21. Carpenter, G.A. (1986). Some cell‑biological mechanisms governing complex neural signal patterns. In S. Diner, D. Farque, & G. Lochak (Eds.), Dynamical Systems – A Renewal of Mechanism, Singapore/Philadelphia: World Scientific Publishing Co., 180‑200.
22. Carpenter, G.A. (1986). Book review: Mathematical Models of the Circadian Sleep‑Wake Cycle, Martin C. Moore‑Ede & Charles A. Czeisler (Eds.), Mathematical Biosciences, 79(2), 231‑233.  
    http://dx.doi.org/10.1016/0025-5564(86)90152-5
23. Carpenter, G.A. & Grossberg, S. (1986). Absolutely stable learning of recognition codes by a self‑organizing neural network. In J.S. Denker (Ed.), Neural Networks for Computing, American Institute of Physics, 151, 77‑85.
24. Carpenter, G.A. & Grossberg, S. (1987). Discovering order in chaos: Stable self‑organization of neural recognition codes. In S.H. Koslow, A.J. Mandell, & M.F. Shlesinger (Eds.), Perspectives in Biological Dynamics and Theoretical Medicine, Annals of the New York Academy of Sciences, 504, 33‑51.
25. Carpenter, G.A. & Grossberg, S. (1987). Mammalian circadian rhythms: A neural network model. In G.A. Carpenter (Ed.), Some Mathematical Questions in Biology – Circadian Rhythms, American Mathematical Society, Lectures on Mathematics in the Life Sciences, 19, 151‑203.
26. Carpenter, G.A. & Grossberg, S. (1987). A massively parallel architecture for a self‑organizing neural pattern recognition machine. Computer Vision, Graphics, and Image Processing, 37(1), 54‑115.   Reprinted in: C. Lau (Ed.) (1992) Neural Networks: Theoretical Foundations, Piscataway, NJ: IEEE Press;   G.A. Carpenter & S. Grossberg (Eds.) (1991) Pattern Recognition by Self‑Organizing Neural Networks, Cambridge, MA: MIT Press;  and   S. Grossberg (Ed.) (1988) Neural Networks and Natural Intelligence, Cambridge, MA: MIT Press.   PDF
    http://dx.doi.org/10.1016/S0734-189X(87)80014-2
27. Carpenter, G.A., Cohen, M.A., & Grossberg, S. (1987). Computing with neural networks: The role of symmetry. Science, 235, 1226‑1227.
28. Carpenter, G.A. & Grossberg, S. (1987). Associative learning, adaptive pattern recognition, and cooperative‑competitive decision making. In H. Szu (Ed.), Optical and Hybrid Computing, SPIE, 634, 218‑247.
29. Carpenter, G.A. & Grossberg, S. (1987). ART 2: Self‑organization of stable category recognition codes for analog input patterns. Proceedings of the IEEE First International Conference on Neural Networks, II, 727‑735.
30. Carpenter, G.A. & Grossberg, S. (1987). Invariant pattern recognition and recall by an attentive ART architecture in a nonstationary world. Proceedings of the IEEE First International Conference on Neural Networks, II, 737‑745.
31. Carpenter, G.A. & Grossberg, S. (1987). ART 2: Self‑organization of stable category recognition codes for analog input patterns. Applied Optics : Special Issue on Neural Networks, 26, 4919‑4930. Reprinted in: G.A. Carpenter & S. Grossberg (Eds.) (1991) Pattern Recognition by Self‑Organizing Neural Networks, Cambridge, MA: MIT Press; and E. Rosenfeld, J.A. Anderson, & A. Pellionisz (Eds.) (1990) Neurocomputing 2: Directions for Research, Cambridge, MA: MIT Press.   PDF
    
    1988 - 1991
32. Carpenter, G.A. & Grossberg, S. (1988). Adaptive resonance theory: Stable self‑organization of neural recognition codes in response to arbitrary lists of input patterns. Proceedings of the 8th Conference of the Cognitive Science Society, Hillsdale, NJ: Erlbaum Associates, 45‑62.
33. Carpenter, G.A. & Grossberg, S. (1988). Neural dynamics of category learning and recognition: Attention, memory consolidation, and amnesia. In J.L. Davis, R.W. Newburgh, & E.J. Wegman (Eds.), Brain Structure, Learning, and Memory, AAAS Selected Symposia Series, 105, 233‑290. Reprinted in: S. Grossberg (Ed.) (1987) The Adaptive Brain, Amsterdam: North‑Holland.
34. Carpenter, G.A. & Grossberg, S. (1988). The ART of adaptive pattern recognition by a self‑organizing neural network. Computer : Special Issue on Artificial Neural Systems, 21, 77‑88. Reprinted in: V. Vemuri & F.U. Dowla, (Eds.) (1991) Neural Networks Applications in Signal Processing, Image Understanding, and Optimization, Los Alamitos, CA: IEEE Computer Society Press; Pankaj Mehra & Benjamin W. Wah (Eds.) (1992) Artificial Neural Networks: Concepts and Theory, Los Alamitos, CA: IEEE Computer Society Press; and J. Diederich (Ed.) (1990) Concept Learning: Artificial Neural Networks, Los Alamitos, CA: IEEE Computer Society Press.
35. Carpenter, G.A. (1988). Self‑organizing neural network architectures for real‑time adaptive pattern recognition. In H. Haken (Ed.), Neural and Synergetic Computers, Springer Series in Synergetics, 42, 42‑74.
36. Carpenter G.A. & Grossberg, S. (1989). Search mechanisms for Adaptive Resonance Theory (ART) architectures. Proceedings of the IEEE/INNS International Joint Conference on Neural Networks, I, 201‑205.
37. Carpenter, G.A., Grossberg, S., & Mehanian, C. (1989). Invariant recognition of cluttered scenes by a self‑organizing ART architecture: CORT‑X boundary segmentation. Neural Networks, 2(3), 169‑181. PDF
    http://dx.doi.org/10.1016/0893-6080(89)90002-6
38. Carpenter, G.A. (1989). Neural network models for pattern recognition and associative memory. Neural Networks, 2, 243‑257.   Reprinted in: V. Rao Vemuri (Ed.) (1992) Artificial Neural Networks: Concepts and Control Applications, Los Alamitos, CA: IEEE Computer Society Press;   Lynn Nadel & Daniel Stein (Eds.) (1992) 1991 Lectures in Complex Systems, Santa Fe Institute Studies in the Sciences of Complexity, Lectures Vol. IV, Redwood City, CA: Addison‑Wesley;   V. Vemuri & F.U. Dowla (Eds.) (1991) Neural Networks Applications in Signal Processing, Image Understanding, and Optimization, Los Alamitos, CA: IEEE Computer Society Press;   G.A. Carpenter & S. Grossberg (Eds.) (1991) Pattern Recognition by Self‑Organizing Neural Networks, Cambridge, MA: MIT Press;   and   Edgar Sanchez‑Sinencio & Clifford Lau (Eds.) (1991) Neural Networks in Circuits and Systems, Piscataway, NJ: IEEE Press. PDF http://dx.doi.org/10.1016/0893-6080(89)90035-X
39. Carpenter, G.A. & Grossberg, S. (1990). Neural dynamics of category learning and recognition: Structural invariants, evoked potentials, and reinforcement. In M.L. Commons, R.J. Herrnstein, S.M. Kosslyn, & D.B. Mumford (Eds.), Quantitative Analyses of Behavior, IX: Computational and Clinical Approaches to Pattern Recognition and Concept Formation, Hillsdale, NJ: Erlbaum Associates, 23‑49.
40. Carpenter, G.A. & Grossberg, S. (1990). ART 3 hierarchical search: Chemical transmitters in self‑organizing pattern recognition architectures. Proceedings of the INNS/IEEE International Joint Conference on Neural Networks, II, Hillsdale, NJ: Erlbaum Associates, 30‑33.
41. Carpenter, G.A. & Grossberg, S. (1990). Adaptive resonance theory: Neural network architectures for self‑organizing pattern recognition. In R. Eckmiller, G. Hartmann, & G. Hauske (Eds.), Parallel Processing in Neural Systems and Computers, Amsterdam: North Holland, 383‑389.
42. Carpenter, G.A. & Grossberg, S. (1990). ART 3: Hierarchical search using chemical transmitters in self‑organizing pattern recognition architectures. Neural Networks, 3(2), 129‑152.    Reprinted in: Ray Paton (Ed.) (1994) Computing with Biological Metaphors, London: Chapman and Hall Ltd.;    Edgar Sanchez‑Sinencio & Clifford Lau (Eds.) (1991) Neural Networks in Circuits and Systems, Piscataway, NJ: IEEE Press;   and   G.A. Carpenter & S. Grossberg (Eds.) (1991) Pattern Recognition by Self‑Organizing Neural Networks, Cambridge, MA: MIT Press. PDF http://dx.doi.org/10.1016/0893-6080(90)90085-Y
43. Carpenter, G.A. & Grossberg, S. (1990). ART 3: Self‑organization of distributed pattern recognition codes in neural network hierarchies. Proceedings of the International Neural Network Conference (Paris), Dordrecht: Kluwer Academic Publishing, 801‑804.
44. Carpenter, G.A. & Grossberg, S. (1990). Self‑organizing neural network architectures for real‑time adaptive pattern recognition. In S.F. Zornetzer, J.L. Davis, & C. Lau (Eds.), An Introduction to Neural and Electronic Networks, San Diego: Academic Press, 455‑478.
45. Carpenter, G.A. & Grossberg, S. (1990). ART: Self‑organizing neural networks for learning and memory of cognitive recognition codes. Proceedings of the 12th Annual Conference of the Cognitive Science Society, Hillsdale, NJ: Erlbaum Associates, 1032‑1034.
46. Bullock, D., Carpenter, G.A., & Grossberg, S. (1991). Self‑organizing neural network architectures for adaptive pattern recognition and robotics. In P. Antognetti & V. Milutinovic (Eds.), Neural Networks: Concepts, Applications, and Implementations, I, Englewood Cliffs, NJ: Prentice‑Hall, 33‑53.
47. Carpenter, G.A., Grossberg, S., & Reynolds, J.H. (1991). A self‑organizing ARTMAP neural architecture for supervised learning and pattern recognition. In R. J. Mammone & Y.Y. Zeevi (Eds.), Neural Networks: Theory and Applications, New York: Academic Press, 43‑80
48. Carpenter, G.A., Grossberg, S., & Reynolds, J.H. (1991). A self‑organizing ARTMAP neural architecture for supervised learning and pattern recognition. In T. Kohonen, K. Mäkasira, O. Simula, & J. Kangas (Eds.), Artificial Neural Networks, Amsterdam: North‑Holland/Elsevier Science Publishing, I‑31‑36.
49. Bradski, G., Carpenter, G.A., & Grossberg, S. (1991). Working memory networks for learning multiple groupings of temporally ordered events: Applications to 3‑D visual object recognition. Proceedings of the International Joint Conference on Neural Networks (IJCNN‑91), Piscataway, NJ: IEEE Service Center, I‑723‑728. Technical Report CAS/CNS‑TR‑91‑007, Boston, MA: Boston University.
50. Carpenter, G.A., Grossberg, S., & Reynolds, J.H. (1991). ARTMAP: A self‑organizing neural network architecture for fast supervised learning and pattern recognition. Proceedings of the International Joint Conference on Neural Networks (IJCNN‑91), Piscataway, NJ: IEEE Service Center, I‑863‑868.
51. Carpenter, G.A., Grossberg, S., & Rosen, D.B. (1991). ART 2‑A: An adaptive resonance algorithm for rapid category learning and recognition. Proceedings of the International Joint Conference on Neural Networks (IJCNN‑91), Piscataway, NJ: IEEE Service Center, II‑151‑156.
52. Carpenter, G.A., Grossberg, S., & Rosen, D.B. (1991). Fuzzy ART: An adaptive resonance algorithm for rapid, stable classification of analog patterns. Proceedings of the International Joint Conference on Neural Networks (IJCNN‑91), Piscataway, NJ: IEEE Service Center, II‑411‑416. Technical Report CAS/CNS‑TR‑91‑006, Boston, MA: Boston University.
53. Carpenter, G.A., Grossberg, S., & Rosen, D.B. (1991). ART 2‑A: An adaptive resonance algorithm for rapid category learning and recognition. Neural Networks, 4(4), 493‑504. Technical Report CAS/CNS‑TR‑91‑011, Boston, MA: Boston University. PDF http://dx.doi.org/10.1016/0893-6080(91)90045-7
54. Carpenter, G.A., Grossberg, S., & Reynolds, J.H. (1991). ARTMAP: Supervised real‑time learning and classification of nonstationary data by a self‑organizing neural network. Neural Networks, 4(5), 565‑588. Technical Report CAS/CNS‑TR‑91‑001, Boston, MA: Boston University. Reprinted in: G.A. Carpenter & S. Grossberg (Eds.) (1991) Pattern Recognition by Self‑Organizing Neural Networks, Cambridge, MA: MIT Press. PDF http://dx.doi.org/10.1016/0893-6080(91)90012-T
55. Carpenter, G.A. & Grossberg, S. (1991). Distributed hypothesis testing, attention shifts, and transmitter dynamics during the self‑organization of brain recognition codes. In H.G. Schuster & W. Singer (Eds.), Nonlinear Dynamics and Neuronal Networks, New York: Springer‑Verlag, 305‑334. Technical Report CAS/CNS‑TR‑91‑013, Boston, MA: Boston University.
56. Carpenter, G.A., Grossberg, S., & Rosen, D.B. (1991). Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks, 4(6), 759‑771. Technical Report CAS/CNS‑TR‑91‑015, Boston, MA: Boston University. PDF
    http://dx.doi.org/10.1016/0893-6080(91)90056-B
57. Carpenter, G.A., Grossberg, S., & Rosen, D.B. (1991). A neural network realization of fuzzy ART. Technical Report CAS/CNS‑TR‑91‑021, Boston, MA: Boston University.
58. Carpenter, G.A. & Grossberg, S. (1991). Attention, resonance, and transmitter dynamics in models of self‑organizing cortical networks for recognition learning. In A.V. Holden & V.I. Kryukov (Eds.), Neurocomputers and Attention, Volume I: Neurobiology, Synchronization and Chaos, Manchester: Manchester University Press, 201‑222.
    
    1992 - 1994
59. Carpenter, G.A., Grossberg, S., & Reynolds, J.H. (1992). A neural network architecture for fast on‑line supervised learning and pattern recognition. In H. Wechsler (Ed.), Neural Networks for Perception. Volume 1: Human and Machine Perception, New York: Academic Press, 248‑264.
60. Carpenter, G.A. & Grossberg, S. (1992). Self‑organizing cortical networks for distributed hypothesis testing and recognition learning. In J.G. Taylor & C.L.T. Mannion (Eds.), Theory and Applications of Neural Networks, New York: Springer‑Verlag, 3‑27.
61. Carpenter, G.A. & Grossberg, S. (1992). Adaptive resonance theory. In Stuart C. Shapiro (Ed.), Encyclopedia of Artificial Intelligence, Second Edition. New York: Wiley and Sons, 13‑21.
62. Bradski, G., Carpenter, G.A., & Grossberg, S. (1992). Working memory networks for learning temporal order, with application to 3‑D visual object recognition. Neural Computation, 4, 270‑286. Technical Report CAS/CNS‑TR‑91‑014, Boston, MA: Boston University.
63. Carpenter, G.A., Grossberg, S. Markuzon, N. Reynolds, J.H. & Rosen, D.B. (1992). Attentive supervised learning and recognition by an adaptive resonance system. In G.A. Carpenter & S. Grossberg (Eds.), Neural Networks for Vision and Image Processing, Cambridge, MA: MIT Press, 365‑384.
64. Goodman, P.H., Kaburlasos, V.G., Egbert, D.D., Carpenter, G.A., Grossberg, S., Reynolds, J., Hammermeister, K.E., Marshall, G., & Grover, F.L. (1992). Fuzzy ARTMAP neural network prediction of heart surgery mortality. Wang Institute Conference on Neural Networks, 48.
65. Bradski, G., Carpenter, G.A., & Grossberg, S. (1992). Working memories for storage and recall of arbitrary temporal sequences. Proceedings of the International Joint Conference on Neural Networks (IJCNN‑92), II‑57‑62. Technical Report CAS/CNS‑TR‑92‑003, Boston, MA: Boston University.
66. Carpenter, G.A., Grossberg, S., & Iizuka, K. (1992). Comparative performance measures of Fuzzy ARTMAP, Learned Vector Quantization, and back propagation for handwritten character recognition. Proceedings of the International Joint Conference on Neural Networks (IJCNN‑92), I‑794‑799. Technical Report CAS/CNS‑TR‑92‑005, Boston, MA: Boston University.
67. Carpenter, G.A., Grossberg, S., & Lesher, G. W. (1992). A what‑and‑where neural network for invariant image processing. Proceedings of the International Joint Conference on Neural Networks (IJCNN‑92), III‑303‑308. Technical Report CAS/CNS‑TR‑92‑006, Boston, MA: Boston University.
68. Carpenter, G.A., Grossberg, S., Markuzon, N., Reynolds, J.H., & Rosen, D.B. (1992). Fuzzy ARTMAP: An adaptive resonance architecture for incremental learning of analog maps. Proceedings of the International Joint Conference on Neural Networks (IJCNN‑92), III‑309‑314.
69. Carpenter, G.A. & Grossberg, S. (1992). A self‑organizing neural network for supervised learning, recognition, and prediction. IEEE Communications Magazine, 30(September), 38‑49.
70. Carpenter, G.A., Grossberg, S., Markuzon, N., Reynolds, J.H., & Rosen, D.B. (1992). Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Transactions on Neural Networks, 3(5), 698‑713. Technical Report CAS/CNS‑TR‑91‑016, Boston, MA: Boston University. Translated into Japanese and reprinted in: T. Yamakawa (Ed.) (1995) Fuzzy Neural Systems, 12, Japan Society for Fuzzy Theory and Systems, 65‑113. PDF
71. Carpenter, G.A. (1992). Book review: Introduction to Neural and Cognitive Modeling, by Daniel S. Levine. IEEE Transactions on Neural Networks, 3, 1030‑1031.
72. Goodman, P.H., Kaburlasos, V.G., Egbert, D.D., Carpenter, G.A., Grossberg, S., Reynolds, J.H., Rosen, D.B., & Hartz, A.J. (1992). Fuzzy ARTMAP neural network compared to linear discriminant analysis prediction of the length of hospital stay in patients with pneumonia. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics. (Chicago, October, 1992) I, New York: IEEE Press, 748‑753. Reprinted in: R.J. Marks, II (Ed.) (1994) Fuzzy Logic Technology and Applications, Piscataway, NJ: IEEE Press.
73. Carpenter, G.A. & Grossberg, S. (1993). Normal and amnesic learning, recognition, and memory by a neural model of cortico‑hippocampal interactions. Trends in Neuroscience, 16(4), 131‑137. Technical Report CAS/CNS‑TR‑92‑021, Boston, MA: Boston University. http://dx.doi.org/10.1016/0166-2236(93)90118-6
74. Asfour, Y.R., Carpenter, G.A., Grossberg, S. & Lesher, G.W. (1993). Fusion ART A neural network architecture for multi‑channel data fusion and classification. Proceedings of the World Congress on Neural Networks (WCNN‑93), II‑210‑215. Technical Report CAS/CNS‑TR‑93‑006, Boston, MA: Boston University.
75. Carpenter, G.A. (1993). Distributed outstar learning and the rules of synaptic transmission. Proceedings of the World Congress on Neural Networks (WCNN‑93), II‑397‑404.
76. Carpenter, G.A. & Govindarajan, K.K. (1993). Evaluation of speaker normalization methods for vowel recognition using fuzzy ARTMAP and K‑NN. Proceedings of the World Congress on Neural Networks (WCNN‑93), III‑397‑404. Technical Report CAS/CNS‑TR‑93‑013, Boston, MA: Boston University.
77. Carpenter, G.A., Grossberg, S., & Reynolds, J.H. (1993). Fuzzy ARTMAP, slow learning, and probability estimation. Proceedings of the World Congress on Neural Networks (WCNN‑93), II‑26‑30. Technical Report CAS/CNS‑TR‑93‑014, Boston, MA: Boston University.
78. Carpenter, G.A. & Ross, W.D. (1993). ART‑EMAP: A neural network architecture for learning and prediction by evidence accumulation. Proceedings of the World Congress on Neural Networks, (WCNN‑93), III‑649‑656. Technical Report CAS/CNS‑TR‑93‑015, Boston, MA: Boston University.
79. Carpenter, G.A. & Tan, A.H. (1993). Rule extraction, fuzzy ARTMAP, and medical databases. Proceedings of the World Congress on Neural Networks (WCNN‑93), I‑501‑506. Technical Report CAS/CNS‑TR‑93‑016, Boston, MA: Boston University.
80. Carpenter, G.A., Grossberg, S., Markuzon, N., Reynolds, J.H., & Rosen, D.B. (1993). Supervised learning by adaptive resonance neural networks. In M. Marinaro & G. Scarpetta (Eds.), Structure: From Physics to General Systems, 2. Festschrift volume in honor of the 70th birthday of Professor Eduardo R. Caianiello. Singapore: World Scientific Publishing Co., 36‑47.
81. Carpenter, G.A. & Govindarajan, K.K. (1993). Neural network and nearest neighbor comparison of speaker normalization methods for vowel recognition. In S. Gielen & B. Kappen (Eds.), Proceedings of the International Conference on Artificial Neural Networks (ICANN’93), London, UK: Springer‑Verlag, 412‑415.
82. Asfour, Y.R., Carpenter, G.A., Grossberg, S. & Lesher, G. W. (1993). Fusion ART An adaptive fuzzy network for multi‑channel classification. Proceedings of the Third International Conference on Industrial Fuzzy Control and Intelligent Systems (IFIS‑93, Houston), Piscataway, NJ: IEEE Press, 155‑160. Technical Report CAS/CNS TR‑93‑052, Boston, MA: Boston University.
83. Carpenter, G.A. (1994). A distributed outstar network for spatial pattern learning. Neural Networks, 7(1), 159‑168. Technical Report CAS/CNS‑TR‑93‑036, Boston, MA: Boston University. PDF
    http://dx.doi.org/10.1016/0893-6080(94)90064-7
84. Carpenter, G.A. (1994). Distributed recognition codes and catastrophic forgetting. Proceedings of the World Congress on Neural Networks (WCNN-94), Hillsdale, NJ: Lawrence Erlbaum Associates, IV‑133‑142.
85. Carpenter, G.A. & Gjaja, M.N. (1994). Fuzzy ART choice functions. Proceedings of the World Congress on Neural Networks (WCNN‑94), Hillsdale, NJ: Lawrence Erlbaum Associates, I‑713‑722. Technical Report CAS/CNS‑TR‑93‑060, Boston, MA: Boston University.
86. Carpenter, G.A. & Ross, W.D. (1994). 3‑D object recognition by the ART‑EMAP evidence accumulation network. Proceedings of the World Congress on Neural Networks (WCNN‑94), I‑749‑758. Technical Report CAS/CNS‑TR‑93‑064, Boston, MA: Boston University.
87. Carpenter, G.A. & Grossberg, S. (1994). Fuzzy ARTMAP: A synthesis of neural networks and fuzzy logic for supervised categorization and nonstationary prediction. In R.R. Yager & L.A. Zadeh (Eds.), Fuzzy Sets, Neural Networks, and Soft Computing, New York: Van Nostrand Reinhold, 126‑165.
88. Markuzon, N., Gaehde, S.A., Ash, A.S., Carpenter, G.A., & Moskowitz, M.A. (1994). Predicting risk of an adverse event in complex medical data sets using fuzzy ARTMAP network. Artificial Intelligence in Medicine: Interpreting Clinical Data. Technical Report Series, Menlo Park, CA: AAAI Press, 93‑96.
89. Gaehde, S.A., Markuzon, N., Ash, A.S., Carpenter, G.A., & Moskowitz, M.A. (1994). Comparison of regression modeling and neural network modeling for predicting postoperative adverse events. Journal of General Internal Medicine, 9, 39.
90. Carpenter, G.A. (1994). Distributed recognition codes, catastrophic forgetting, and the rules of synaptic transmission. Proceedings: Intelligent Robots and Computer Vision XIII, Boston. SPIE Proceedings, 2353, Bellingham, WA: Society of Photo‑Optical Instrumentation Engineers.
91. Carpenter, G.A. & Grossberg, S. (1994). Integrating symbolic and neural processing in a self‑organizing architecture for pattern recognition and prediction. In V. Honavar & L. Uhr (Eds.), Artificial Intelligence and Neural Networks: Steps Toward Principled Integration, San Diego, CA: Academic Press, 387‑421. Technical Report CAS/CNS TR‑93‑002, Boston, MA: Boston University.
92. Bradski, G., Carpenter, G.A., & Grossberg, S. (1994). STORE working memory networks for storage and recall of arbitrary temporal sequences. Biological Cybernetics, 71, 469‑480. Technical Report CAS/CNS‑TR‑92‑028, Boston MA: Boston University.
93. Carpenter, G.A. & Grossberg, S. (1994). Self‑organizing neural networks for supervised and unsupervised learning and prediction. In V. Cherkassky, J. H. Friedman, & H. Wechsler (Eds.), From Statistics to Neural Networks. Theory and Pattern Recognition Applications, ASI NATO Series F., 136. New York: Springer‑Verlag, 319‑348.
    
    1995 - 1997
94. Carpenter, G.A. & Tan, A.‑H. (1995). Rule extraction: From neural architecture to symbolic representation. Connection Science, 7, 3‑27. Technical Report CAS/CNS‑TR‑94‑005, Boston, MA: Boston University.
95. Carpenter, G.A. & Grossberg, S. (1995). Adaptive Resonance Theory. In M.A. Arbib (Ed.), The Handbook of Brain Theory and Neural Networks, Cambridge, MA: MIT Press, 79‑82.
96. Carpenter, G.A. & Grossberg, S. (1995). A neural network architecture for autonomous learning, recognition, and prediction in a nonstationary world. In S.F. Zornetzer, J.L. Davis, C. Lau, & T. McKenna (Eds.), An Introduction to Neural and Electronic Networks, Second Edition, San Diego, CA: Academic Press, 465‑482. Technical Report CAS/CNS TR‑93‑049, Boston, MA: Boston University.
97. Carpenter, G.A. & Ross, W.D. (1995). ART‑EMAP: A neural network architecture for object recognition by evidence accumulation. IEEE Transactions on Neural Networks, 6(4), 805‑818. Technical Report CAS/CNS‑TR‑93‑035, Boston, MA: Boston University. PDF
98. Asfour, Y.R., Carpenter, G.A., & Grossberg, S. (1995). Landsat satellite image segmentation using the fuzzy ARTMAP neural network. Proceedings of the World Congress on Neural Networks (WCNN‑95), I‑150‑156. Technical Report CAS/CNS TR‑95‑004, Boston, MA: Boston University.
99. Carpenter, G.A., Grossberg, S., & Reynolds, J.H. (1995). A fuzzy ARTMAP nonparametric probability estimator for nonstationary pattern recognition problems. IEEE Transactions on Neural Networks, 6, 1330‑1336. Technical Report CAS/CNS‑93‑047, Boston, MA: Boston University.
100. Carpenter, G.A. & Grossberg, S. (1996). Learning, categorization, rule formation, and prediction by fuzzy neural networks. In C.H. Chen (Ed.) Fuzzy Logic and Neural Network Handbook, New York: McGraw‑Hill, 1.3‑1.45. Technical Report CAS/CNS TR‑94‑028, Boston, MA: Boston University.
101. Carpenter, G.A. (1996). Distributed activation, search, and learning by ART and ARTMAP neural networks. Proceedings of the International Conference on Neural Networks (ICNN’96): Plenary, Panel and Special Sessions, Piscataway, NJ: IEEE Press, 244‑249. Technical Report CAS/CNS TR‑96‑006, Boston, MA: Boston University.
102. Carpenter, G.A., Gjaja, M.N., Gopal, S., & Woodcock, C.A. (1996). ART neural networks for remote sensing: Vegetation classification from Landsat TM and terrain data. International Geoscience and Remote Sensing Symposium, 1996, 1. Piscataway, NJ: IEEE Press, 529‑531. Technical Report CAS/CNS TR‑96‑008, Boston, MA: Boston University.
103. Carpenter, G.A. (1996). Distributed ART networks for learning, recognition, and prediction. Proceedings of the World Congress on Neural Networks (WCNN'96), Mahwah, NJ: Lawrence Erlbaum Associates, 333‑344. Technical Report CAS/CNS TR‑96‑005, Boston, MA: Boston University.
104. Carpenter, G.A & Grossberg, S. (1996). Fuzzy ART. In B. Kosko, Fuzzy Engineering, New York: Prentice Hall, 467‑497. Technical Report CAS/CNS‑TR‑93‑059, Boston, MA: Boston University.
105. Carpenter, G.A. & Grossberg, S. (1996). Adaptive resonance theory: Self‑organizing networks for stable learning, recognition, and prediction. In E. Fiesler & R. Beale (Eds.), The Handbook of Neural Computation, New York: Oxford University Press. Technical Report CAS/CNS‑TR‑95‑017, Boston, MA: Boston University.
106. Carpenter, G.A. (1997). Spatial pattern learning, catastrophic forgetting, and optimal rules of synaptic transmission. In D.S. Levine & W.R. Elsberry (Eds.), Optimality in Biological and Artificial Networks? Mahwah, NJ: Lawrence Erlbaum Associates, 288‑316. Technical Report CAS/CNS‑TR‑93‑058, Boston, MA: Boston University.
107. Carpenter, G.A., Gjaja, M.N., Gopal, S., & Woodcock, C.E. (1997). ART neural networks for remote sensing: Vegetation classification from Landsat TM and terrain data. IEEE Transactions on Geoscience and Remote Sensing, 35, 308‑325. Technical Report CAS/CNS‑TR‑95‑026. Boston, MA: Boston University.\
108. Carpenter, G.A. & Grossberg, S. (1997). Adaptive resonance theory. In J.D. Irwin (Ed.), The Industrial Electronics Handbook, Boca Raton, FL: CRC Press, 1286‑1298.
109. Carpenter, G.A., Rubin, M.A., & Streilein, W.W. (1997). ARTMAP‑FD: Familiarity discrimination applied to radar target recognition. Proceedings of the International Conference on Neural Networks (ICNN'97), 3, Piscataway, NJ: IEEE Press, 1459‑1464. Technical Report CAS/CNS TR‑96‑032, Boston, MA: Boston University.
110. Grossberg, S., Carpenter, G., Schwartz, E., Mingolla, E., Bullock, D., Gaudiano, P., Andreou, A., Cauwenberghs, G., & Hubbard, A. (1997). Automated vision and sensing systems at Boston University. Proceedings of the DARPA Image Understanding Workshop, New Orleans, May.
111. Grossberg, S., Carpenter, G., Schwartz, E., Mingolla, E., Bullock, D., Gaudiano, P., Andreou, A., Cauwenberghs, G., & Hubbard, A. (1997). Principal investigator report: Automated vision and sensing systems at Boston University. Proceedings of the DARPA Image Understanding Workshop, New Orleans, May.
112. Carpenter, G.A. & Wilson, F.D.M. (1997). ARTMAP‑DS: Pattern discrimination by discounting similarities. In W. Gerstner, A. Germond, M. Hasler, & J.-D. Nicoud (Eds.), Proceedings of the International Conference on Artificial Neural Networks (ICANN’97), Berlin: Springer-Verlag, 607‑612. Technical Report CAS/CNS‑TR‑97‑009, Boston, MA: Boston University.
113. Carpenter, G.A., Rubin, M.A., & Streilein, W.W. (1997). Threshold determination for ARTMAP‑FD familiarity discrimination. In C.H. Dagli, M. Akay, O. Ersoy, B.R. Fernandez, & A. Smith (Eds.), Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining, and Evolutionary Programming, 7, (Proceedings of the Artificial Neural Networks in Engineering Conference - ANNIE’97), New York: ASME Press, 23-28. Technical Report CAS/CNS TR‑97‑006, Boston, MA: Boston University.
114. Carpenter, G.A., Gjaja, M.N., Gopal, S., Markuzon, N., & Woodcock, C.E. (1997). ART and ARTMAP neural networks for applications: Self‑organizing learning, recognition, and prediction. In L.C. Jain (Ed.), Soft Computing Techniques in Knowledge-Based Intelligent Systems in Engineering, New York: Springer‑Verlag, 279-317. Technical Report CAS/CNS TR‑96‑009, Boston, MA: Boston University.
115. Carpenter, G.A. (1997). Distributed learning, recognition, and prediction by ART and ARTMAP neural networks. Neural Networks, 10(8), 1473-1494. Technical Report CAS/CNS TR‑96‑004, Boston, MA: Boston University. PDF http://dx.doi.org/10.1016/S0893-6080(97)00004-X
116. Carpenter, G.A., Grossberg, S., & Lesher, G.W. (1998). The what‑and‑where filter: A spatial mapping neural network for object recognition and image understanding. Computer Vision and Image Understanding, 69, 1-22. Technical Report CAS/CNS‑TR‑93‑043, Boston, MA: Boston University. PDF
     http://dx.doi.org/10.1016/S0893-6080(97)00067-1
     
     1998 - 2000
117. Carpenter, G.A. & Markuzon, N. (1998). ARTMAP‑IC and medical diagnosis: Instance counting and inconsistent cases. Neural Networks, 11(2), 323-336. Technical Report CAS/CNS‑TR‑96‑017, Boston, MA: Boston University. PDF http://dx.doi.org/10.1016/S0893-6080(97)00067-1
118. Campos, M.M. & Carpenter, G.A. (1998). WSOM: Building adaptive wavelets with self‑organizing maps. Proceedings of the International Joint Conference on Neural Networks (IJCNN’98), Piscataway, NJ: IEEE Press, 763-767. Technical Report CAS/CNS TR‑97‑007, Boston, MA: Boston University.
119. Carpenter, G.A. & Streilein, W.W. (1998). ARTMAP-FTR: A neural network for fusion target recognition, with application to sonar classification. AeroSense: Proceedings of SPIE’s 12th Annual Symposium on Aerospace/Defense Sensing, Simulation, and Control. Orlando, April 13-17, 1998, Bellingham, WA: Society of Photo‑Optical Instrumentation Engineers. Technical Report CAS/CNS TR‑98-016, Boston, MA: Boston University. Reprinted in: Firooz Sadjadi (Ed.) (1999) Automatic Target Recognition, Selected SPIE Papers on CD-ROM series, Vol. 6, SPIE.
120. Carpenter, G.A., Milenova, B.L., & Noeske, B.W. (1998). dARTMAP: A neural network for fast distributed supervised learning. Neural Networks, 11(5), 793-813. Technical Report CAS/CNS TR‑97‑026, Boston, MA: Boston University. PDF http://dx.doi.org/10.1016/S0893-6080(98)00019-7
121. Martens, S., Gaudiano, P., & Carpenter, G.A. (1998). Mobile robot sensor fusion with fuzzy ARTMAP. Proceedings of the 1998 IEEE International Symposium on Computational Intelligence in Robotics and Automation (ISIC/CIRA/ISAS’98), Piscataway, NJ: IEEE Press, 307-312. Technical Report CAS/CNS TR‑98-011, Boston, MA: Boston University.
122. Streilein, W.W., Gaudiano, P., & Carpenter, G.A. (1998). A neural network for object recognition through sonar on a mobile robot. Proceedings of the 1998 IEEE International Symposium on Computational Intelligence in Robotics and Automation (ISIC/CIRA/ISAS’98), Piscataway, NJ: IEEE Press, 271-276. Technical Report CAS/CNS TR‑98-015, Boston, MA: Boston University.
123. Campos, M.M. & Carpenter, G.A. (1998). Building adaptive basis functions with a continuous SOM. Proceedings of the Third International Conference on Computational Intelligence and Neuroscience (CI&N’98). Technical Report CAS/CNS TR‑98-025, Boston, MA: Boston University.
124. Martens, S., Carpenter, G.A., & Gaudiano, P. (1998). Neural sensor fusion for spatial visualization on a mobile robot. Proceedings of the SPIE International Symposium on Intelligent Systems and Advanced Manufacturing (Boston, November, 1998). Technical Report CAS/CNS TR‑98-028, Boston, MA: Boston University.
125. Carpenter, G.A., Gjaja, M.N., Gopal, S., & Woodcock, C.E., ART neural networks for remote sensing image analysis. Technical Report CAS/CNS TR‑99‑007, Boston, MA: Boston University.
126. Carpenter, G.A., & Milenova, B.L. (1999). Distributed ARTMAP. Proceedings of the International Joint Conference on Neural Networks (IJCNN'99), CD-ROM (IEEE Catalog Number: 99CH36339C): #3022. Session 5.13. Technical Report CAS/CNS TR‑99‑013, Boston, MA: Boston University. PDF
127. Carpenter, G.A., Gopal, S., Macomber, S., Martens, S., & Woodcock, C.E. (1999). A neural network method for mixture estimation for vegetation mapping. Remote Sensing of Environment, 70(2), 138-152. Technical Report CAS/CNS TR‑97‑014, Boston, MA: Boston University. PDF 
     http://dx.doi.org/10.1016/S0034-4257(99)00027-9
128. Carpenter, G.A., Gopal, S., Macomber, S., Martens, S., Woodcock, C.E., & Franklin, J. (1999). A neural network method for efficient vegetation mapping. Remote Sensing of Environment, 70(3), 326-338. Technical Report CAS/CNS TR‑98‑035, Boston, MA: Boston University. PDF   
     http://dx.doi.org/10.1016/S0034-4257(99)00051-6
129. Campos, M.M., & Carpenter, G.A. (2000). Building adaptive basis functions with a continuous self-organizing map. Neural Processing Letters, 11, 59-78. Technical Report CAS/CNS TR‑99‑005, Boston, MA: Boston University.
130. ART neural networks for medical data analysis and fast distributed learning. In Helge Malmgren, Magnus Borga, and Lars Niklasson (Eds.), Artificial Neural Networks in Medicine and Biology.  Proceedings of the ANNIMAB-1 Conference, Göteborg, Sweden, 13-16 May 2000, London:  Springer-Verlag, 10-17. Springer series Perspectives in Neural Computing. Technical Report CAS/CNS TR‑2000-002, Boston, MA: Boston University. PDF
131. Carpenter, G.A. (2000). ART neural networks:  Distributed coding and ARTMAP applications. In Peter Sincˇák and Ján Vasˇcˇák (Eds.), Quo Vadis Computational Intelligence?  New Trends and Approaches in Computational Intelligence. In the series Studies in Fuzziness and Soft Computing, New York:  Physica-Verlag, 3-12. Technical Report CAS/CNS TR-2000-005, Boston, MA: Boston University. PDF
132. Kopco, N. & Carpenter, G.A. (2000). Graded signal functions for ARTMAP neural networks. In Peter Sincˇák, Ján Vasˇcˇák, Vladimír Kvasnicˇka, & Radko Mesiar (Eds.), The State of the Art in Computational Intelligence.  Proceedings of the European Symposium on Computational Intelligence (ISCI-2000), Kosˇice, Slovak Republic, August 30 – September 1, 2000. In the series Advances in Soft Computing, New York: Physica-Verlag, 9-14. Technical Report CAS/CNS TR-2000-006, Boston, MA: Boston University.
133. Carpenter, G.A. (2000). Combining distributed and localist computations in real-time neural networks.  A commentary on “Connectionist modelling in psychology:  A localist manifesto,” by Mike Page. Behavioral and Brain Sciences, 23, 473-474. Technical Report CAS/CNS TR‑99‑028, Boston, MA: Boston University. PDF
134. Carpenter, G.A., (2000). Adaptive resonance:  an emerging neural theory of cognition. Technical Report CAS/CNS TR‑2000-010, Boston, MA: Boston University.
     
     2001 - 2003
135. Carpenter, G.A. (2001). Neural network models of learning and memory: leading questions and an emerging framework. Trends in Cognitive Sciences, 5(3), 114-118. Technical Report CAS/CNS TR‑2000-022, Boston, MA: Boston University. PDF http://dx.doi.org/10.1016/S1364-6613(00)01591-6
136. Campos, M.M., & Carpenter, G.A. (2001). S-TREE:  Self-organizing trees for data clustering and online vector quantization. Neural Networks, 14(4-5), 505-525. Technical Report CAS/CNS TR‑2000-028, Boston, MA: Boston University. PDF http://dx.doi.org/10.1016/S0893-6080(01)00020-X
137. Shock, B.M., Carpenter, G.A., Gopal, S., & Woodcock, C.E. (2001). ARTMAP neural network classification of land use change. Proceedings of the World Congress on Computers in Agriculture and Natural Resources, Iguaça Falls, Brazil, September, 2001. Technical Report CAS/CNS TR‑2001-009, Boston, MA: Boston University. PDF
138. Carpenter, G.A., & Milenova, B.L. (2002). Redistribution of synaptic efficacy supports stable pattern learning in neural networks. Neural Computation, 14, 873-888. Technical Report CAS/CNS TR‑99-019, Boston, MA: Boston University. PDF
139. Waxman, A.M., Fay, D.A., Rhodes, B.J., McKenna, T.S., Ivey, R.T., Bomberger, N.A., Bykoski, V.K., and Carpenter, G.A. (2002). Information fusion for image analysis: Geospatial foundations for higher-level fusion. Proceedings of the 5th International Conference on Information Fusion, Annapolis, July, I, 562-569. PDF 
140. Carpenter, G.A. & Grossberg, S. (2002). A self‑organizing neural network for supervised learning, recognition, and prediction. In Thad A. Polk and Colleen M. Seifert (Eds.), Cognitive Modeling, Cambridge, MA:  MIT Press, 288-314.
141. Carpenter, G.A. & Grossberg, S. (2003). Adaptive Resonance Theory. In M.A. Arbib (Ed.), The Handbook of Brain Theory and Neural Networks, Second Edition, Cambridge, MA: MIT Press, 87-90. Technical Report CAS/CNS TR‑98-029, Boston, MA: Boston University. PDF
142. Carpenter, G.A. (2003). Default ARTMAP. Proceedings of the International Joint Conference on Neural Networks (IJCNN’03), Portland, Oregon, 1396-1401. Technical Report CAS/CNS TR‑2003-008, Boston, MA: Boston University. PDF
143. Parsons, O., & Carpenter, G.A. (2003). ARTMAP neural networks for information fusion and data mining: Map production and target recognition methodologies. Neural Networks, 16(7), 1075-1089. Technical Report CAS/CNS TR‑2002-011, Boston, MA: Boston University.
     http://dx.doi.org/10.1016/S0893-6080(03)00007-8
     http://cns.bu.edu/~gail/143_ARTMAP_map_TR-2002-011_3_.pdf  
     http://cns.bu.edu/~gail/143_ARTMAP_map_NN_p-1_.pdf   + 
     http://cns.bu.edu/~gail/143_ARTMAP_map_NN_2003_.pdf
     
     2004 - present
144. Kopco, N., & Carpenter, G.A. (2004). PointMap:  A real-time memory-based learning system with on-line and post-training pruning. International Journal of Hybrid Intelligent Systems, 1(2), 57-71. Technical Report CAS/CNS TR‑2002-012, Boston, MA: Boston University. PDF
145. Carpenter, G.A., Martens, S., & Ogas, O.J. (2004). Self-organizing hierarchical knowledge discovery by an ARTMAP image fusion system. Proceedings of Fusion 2004: 7th International Conference on Information Fusion, June 28 - July 1, 2004, Stockholm, Sweden, 235-242. Technical Report CAS/CNS TR‑2004-001, Boston, MA: Boston University. PDF
146. Carpenter, G.A., Martens, S., Mingolla, E., Ogas, O.J., & Sai, C. (2005). Biologically inspired approaches to automated feature extraction and target recognition. Proceedings of the 33rd Applied Imagery Pattern Recognition Workshop (AIPR 2004), Los Alamitos, CA:  IEEE Computer Society, 61-65. Technical Report CAS/CNS TR‑2004-008, Boston, MA: Boston University. PDF
147. Chelian, S.E., & Carpenter, G.A. (2005).  CEDI:  A neural model of colour vision, with applications to image processing and classification. Extended abstract:  AIC05:  10th Congress of the International Colour Association, May 9-13, 2005, Granada, Spain. Technical Report CAS/CNS TR‑2004-010, Boston, MA: Boston University. PDF
148. Carpenter, G.A., Martens, S., & Ogas, O.J. (2005). Self-organizing information fusion and hierarchical knowledge discovery:  a new framework using ARTMAP neural networks. Neural Networks, 18(3), 287-295. Technical Report CAS/CNS TR‑2004-016, Boston, MA: Boston University. PDF
     http://dx.doi.org/10.1016/j.neunet.2004.12.003
149. Chelian, S.E., & Carpenter, G.A. (2005). DISCOV:  A neural model of colour vision, with applications to image processing and classification. Proceedings of AIC05:  10th Congress of the International Colour Association, May 9-13, 2005, Granada, Spain, 61-66. Technical Report CAS/CNS TR‑2005-006, Boston, MA: Boston University. PDF
150. Carpenter, G.A., & Martens, S. (2005). Self-organizing hierarchical knowledge discovery by an ARTMAP information fusion system. Proceedings of the International Joint Conference on Neural Networks (IJCNN’05), Montreal. Technical Report CAS/CNS TR‑2005-002, Boston, MA: Boston University. PDF
151. Grossberg, S., Carpenter, G.A., & Ersoy, B. (2005). Brain categorization:  learning, attention, and consciousness. Proceedings of the International Joint Conference on Neural Networks (IJCNN’05), Montreal. Technical Report CAS/CNS TR‑2005-005, Boston, MA: Boston University. PDF
152. Amis, G.P., & Carpenter, G.A. (2007). Default ARTMAP 2. Proceedings of the International Joint Conference on Neural Networks (IJCNN’07 – Orlando). Technical Report CAS/CNS TR‑2007-003, Boston, MA: Boston University. PDF
153. Bhatt, R., Carpenter, G.A., & Grossberg, S. (2007). Texture segregation by visual cortex: Perceptual grouping, attention, and learning. Vision Research, 47, 3173-3221. Technical Report CAS/CNS TR‑2006-007, Boston, MA: Boston University. PDF http://dx.doi.org/10.1016/j.visres.2007.07.013
154. Carpenter, G.A., Gaddam, C.S., & Mingolla, E. (2007). CONFIGR:  A vision-based model for long-range figure completion. Neural Networks, 20(10), 1109-1131. Technical Report CAS/CNS TR‑2007-016, Boston, MA: Boston University. PDF http://dx.doi.org/10.1016/j.neunet.2007.10.002
155. Carpenter, G.A., & Ravindran, A. (2008). Unifying multiple knowledge domains using the ARTMAP information fusion system. Proceedings of the 11th International Conference on Information Fusion, Cologne, Germany, June 30 - July 3, 2008. PDF
156. Versace, M., Lorenz, S., St. Clair, T., Panko, M., & Carpenter, G.A. (2008). CNS Technology Website administrative guide version 1.0. Technical Report CAS/CNS TR-2008-004, Boston, MA: Boston University.  PDF
157. Carpenter, G.A. (2009). Large-scale neural systems for vision and cognition. Proceedings of the International Joint Conference on Neural Networks, (IJCNN 2009, Atlanta). PDF
158. Carpenter, G.A., & Gaddam, C.S. (2009). Biased ART: A neural architecture that shifts attention toward previously disregarded features following an incorrect prediction. Neural Networks, Technical Report CAS/CNS TR-2009-003, Boston, MA: Boston University PDF
159. Amis, G.P., & Carpenter, G.A. (2009). Self-supervised ARTMAP. Neural Networks, Technical Report CAS/CNS TR-2009-006, Boston, MA: Boston University. PDF
160. Carpenter, G.A., & Grossberg, S. (2009). Adaptive Resonance Theory. In Encyclopedia of Machine Learning, C. Sammet & G. Webb (Eds.). Technical Report CAS/CNS T-2009-008, Boston, MA: Boston University. PDF