A massively parallel architecture for a self-organizing neural pattern recognition machine
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Top-down messages can utilize the same recurrent excitatory mechanism that has been proposed for implementing biased competition for attentional selection.
“Note that the top-down messages can utilize the same recurrent excitatory mechanism that has been proposed for implementing biased competition for attentional selection. 10 -12”
From Hierarchical Bayesian inference in the visual cortex (2003) · cites this paper as [11]
Cites
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270 · see citing works
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825 · see citing works
indicated, N. A. (1950) · Journal of Consulting Psychology · doi:10.1037/h0049612 · Cited by 6,984 · see citing works
Fukushima, K. (1980) · Biological Cybernetics · doi:10.1007/bf00344251 · Cited by 5,759 · see citing works
Smith, E. E., & Medin, D. L. (1981) · Harvard University Press eBooks · doi:10.4159/harvard.9780674866270 · Cited by 2,653 · see citing works
On the genesis of abstract ideas.
Posner, M. I., & Keele, S. W. (1968) · Journal of Experimental Psychology · doi:10.1037/h0025953 · Cited by 1,983 · see citing works
Grossberg, S. (1976) · Biological Cybernetics · doi:10.1007/bf00344744 · Cited by 1,910 · see citing works
Self-citationHow Does a Brain Build a Cognitive Code?
Grossberg, S. (1982) · Boston studies in the philosophy of science · doi:10.1007/978-94-009-7758-7_1 · Cited by 1,204 · see citing works
Self-citationDistributed memory and the representation of general and specific information.
McClelland, J. L., & Rumelhart, D. (1985) · Journal of experimental psychology. General · doi:10.1037/0096-3445.114.2.159 · Cited by 1,160 · see citing works
How does a brain build a cognitive code?
Grossberg, S. (1980) · Psychological Review · doi:10.1037/0033-295x.87.1.1 · Cited by 1,160 · see citing works
Self-citationDistributed memory and the representation of general and specific information.
McClelland, J. L., & Rumelhart, D. E. (1985) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.114.2.159 · Cited by 1,129 · see citing works
Neural dynamics of form perception: Boundary completion, illusory figures, and neon color spreading.
Grossberg, S., & Ennio Mingolla, B. (1985) · Psychological Review · doi:10.1037/0033-295x.92.2.173 · Cited by 1,112 · see citing works
Self-citationGrossberg, S. (1976) · Biological Cybernetics · doi:10.1007/bf00340335 · Cited by 962 · see citing works
Self-citationAnderson, J. A., Silverstein, J. W., Ritz, S. A., & Jones, R. S. (1977) · Psychological Review · doi:10.1037/0033-295x.84.5.413 · Cited by 891 · see citing works
Neural dynamics of perceptual grouping: Textures, boundaries, and emergent segmentations
Grossberg, S., & Ennio Mingolla, B. (1985) · Perception & Psychophysics · doi:10.3758/bf03198851 · Cited by 818 · see citing works
Self-citationMcCloskey, M. E., Smith, E. E., & Medin, D. L. (1982) · The American Journal of Psychology · doi:10.2307/1422151 · Cited by 664 · see citing works
Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks
Grossberg, S. (1982) · Boston studies in the philosophy of science · doi:10.1007/978-94-009-7758-7_8 · Cited by 652 · see citing works
Self-citationContour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks
Grossberg, S. (1973) · Studies in Applied Mathematics · doi:10.1002/sapm1973523213 · Cited by 638 · see citing works
Self-citationPosner, M. I., & Keele, S. W. (1970) · Journal of Experimental Psychology · doi:10.1037/h0028558 · Cited by 625 · see citing works
Mathematics Applied to Deterministic Problems in the Natural Sciences
LIN, C. C., & Segel, L. A. (1988) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611971347 · Cited by 604 · see citing works
Associative memory. A system-theoretical approach
(1979) · Acta Biotheoretica · doi:10.1007/bf00054681 · Cited by 400 · see citing works
Brain and information: Event-related potentials
Rugg, M. (1985) · Biological Psychology · doi:10.1016/0301-0511(85)90053-5 · Cited by 398 · see citing works
Posner, M. I. (1973) · Medical Entomology and Zoology · Cited by 360 · see citing works
Neural dynamics of word recognition and recall: Attentional priming, learning, and resonance.
Grossberg, S., & Stone, G. O. (1986) · Psychological Review · doi:10.1037/0033-295x.93.1.46 · Cited by 345 · see citing works
Self-citationEllias, S. A., & Grossberg, S. (1975) · Biological Cybernetics · doi:10.1007/bf00327046 · Cited by 271 · see citing works
Self-citationA Theory of Human Memory: Self-Organization and Performance of Sensory-Motor Codes, Maps, and Plans
Grossberg, S. (1982) · Boston studies in the philosophy of science · doi:10.1007/978-94-009-7758-7_13 · Cited by 256 · see citing works
Self-citationA Theory of Human Memory: Self-Organization and Performance of Sensory-Motor Codes, Maps, and Plans
Grossberg, S. (1978) · Elsevier eBooks · doi:10.1016/b978-0-12-543105-7.50013-0 · Cited by 238 · see citing works
Self-citationThe quantized geometry of visual space: The coherent computation of depth, form, and lightness
Grossberg, S. (1983) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00017763 · Cited by 198 · see citing works
Self-citationNeural dynamics of surface perception: Boundary webs, illuminants, and shape-from-shading
Grossberg, S., & Ennio Mingolla, B. (1987) · Computer Vision Graphics and Image Processing · doi:10.1016/s0734-189x(87)80015-4 · Cited by 189 · see citing works
Self-citationGrossberg, S., & Levine, D. S. (1975) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(75)80009-9 · Cited by 166 · see citing works
Self-citationCohen, M., & Grossberg, S. (1987) · Elsevier eBooks · doi:10.1016/b978-0-444-70414-6.50012-1 · Cited by 160 · see citing works
Self-citationNeural Dynamics of Category Learning and Recognition: Attention, Memory Consolidation, and Amnesia
Carpenter, G. A., & Grossberg, S. (1987) · Advances in psychology · doi:10.1016/s0166-4115(08)60911-5 · Cited by 147 · see citing works
Self-citationThe Adaptive Self-Organization of Serial Order in Behavior: Speech, Language, And Motor Control
Grossberg, S. (1987) · Advances in psychology · doi:10.1016/s0166-4115(08)61766-5 · Cited by 141 · see citing works
Self-citationAssociative memory: A system-theoretical approach
Whitehead, B. A. (1977) · Mathematical Biosciences · doi:10.1016/0025-5564(77)90055-4 · Cited by 126 · see citing works
Grossberg, S. (1984) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1984.tb23523.x · Cited by 123 · see citing works
Self-citationNeural dynamics of attention switching and temporal-order information in short-term memory
Grossberg, S., & Stone, G. (1986) · Memory & Cognition · doi:10.3758/bf03202517 · Cited by 94 · see citing works
Self-citationBanquet, J. P., & Grossberg, S. (1987) · Applied Optics · doi:10.1364/ao.26.004931 · Cited by 84 · see citing works
Self-citationMathematical psychology and psychophysiology
Scott, A. C. (1983) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(83)90032-9 · Cited by 79 · see citing works
Unitization, Automaticity, Temporal Order, and Word Recognition
Grossberg, S. (1991) · The MIT Press eBooks · doi:10.7551/mitpress/5271.003.0020 · Cited by 64 · see citing works
Self-citationBrain Structure, Learning, And Memory
Davis, J. L. (2019) · Routledge eBooks · doi:10.4324/9780429044540 · Cited by 51 · see citing works
Do all neural models really look alike? A comment on Anderson, Silverstein, Ritz, and Jones.
Grossberg, S. (1978) · Psychological Review · doi:10.1037//0033-295x.85.6.592 · Cited by 31 · see citing works
Self-citation(2013) · Psychology Press eBooks · doi:10.4324/9780203771716-8 · Cited by 8 · see citing works
Flagged first, then by citations
2 of the 44 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388 · see citing works
Survey of Clustering Algorithms
Xu, R., & Wunsch, D. C. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2005.845141 · Cited by 6,223 · see citing works
Machine learning: Algorithms, real-world applications and research directions
Sarker, I. H. (2021) · SN Computer Science · doi:10.1007/s42979-021-00592-x · Cited by 5,583 · see citing works
A Survey of Outlier Detection Methodologies
Hodge, V., & Austin, J. (2004) · Artificial Intelligence Review · doi:10.1007/s10462-004-4304-y · Cited by 3,596 · see citing works
Clustering of time series data—a survey
Liao, T. W. (2005) · Pattern Recognition · doi:10.1016/j.patcog.2005.01.025 · Cited by 2,410 · see citing works
Catastrophic forgetting in connectionist networks
French, R. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01294-2 · Cited by 2,311 · see citing works
30 years of adaptive neural networks: perceptron, Madaline, and backpropagation
Widrow, B. C., & Lehr, M. A. (1990) · Proceedings of the IEEE · doi:10.1109/5.58323 · Cited by 2,241 · see citing works
Theory of the backpropagation neural network
Hecht-Nielsen (1989) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.1989.118638 · Cited by 2,221 · see citing works
How brains make chaos in order to make sense of the world
Skarda, C. A., & Freeman, W. J. (1987) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00047336 · Cited by 2,090 · see citing works
Bidirectional associative memories
Kosko, B. (1988) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.87054 · Cited by 2,078 · see citing works
Carpenter, G. A., Grossberg, S., Markuzon, N., Reynolds, J. H., & Rosen, D. B. (1992) · IEEE Transactions on Neural Networks · doi:10.1109/72.159059 · Cited by 1,977 · see citing works
Self-citationA Comprehensive Survey of Clustering Algorithms
Xu, D., & Tian, Y. (2015) · Annals of Data Science · doi:10.1007/s40745-015-0040-1 · Cited by 1,939 · see citing works
Neural networks for pattern recognition
Marshall, J. A. (1995) · Neural Networks · doi:10.1016/0893-6080(95)90002-0 · Cited by 1,888 · see citing works
Time-series clustering – A decade review
Aghabozorgi, S., Seyed Shirkhorshidi, A., & Ying Wah, T. (2015) · Information Systems · doi:10.1016/j.is.2015.04.007 · Cited by 1,826 · see citing works
State-of-the-Art in Visual Attention Modeling
Borji, A., & Itti, L. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.89 · Cited by 1,808 · see citing works
The k-means Algorithm: A Comprehensive Survey and Performance Evaluation
Ahmed, M., Seraj, R., & Islam, S. M. S. (2020) · Electronics · doi:10.3390/electronics9081295 · Cited by 1,717 · see citing works
Näätänen, R. (1990) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00078407 · Cited by 1,678 · see citing works
Carpenter, G. A., Grossberg, S., & Rosen, D. B. (1991) · Neural Networks · doi:10.1016/0893-6080(91)90056-b · Cited by 1,671 · see citing works
Self-citationNonlinear neural networks: Principles, mechanisms, and architectures
Grossberg, S. (1988) · Neural Networks · doi:10.1016/0893-6080(88)90021-4 · Cited by 1,623 · see citing works
Self-citationHierarchical Bayesian inference in the visual cortex
Lee, T. S., & Mumford, D. (2003) · Journal of the Optical Society of America A · doi:10.1364/josaa.20.001434 · Cited by 1,473 · see citing works
Competitive learning: From interactive activation to adaptive resonance
Grossberg, S. (1987) · Cognitive Science · doi:10.1111/j.1551-6708.1987.tb00862.x · Cited by 1,471 · see citing works
Self-citationART 2: self-organization of stable category recognition codes for analog input patterns
Carpenter, G. A., & Grossberg, S. (1987) · Applied Optics · doi:10.1364/ao.26.004919 · Cited by 1,443 · see citing works
Self-citationImproved Heterogeneous Distance Functions
Wilson, D. R., & Martinez, T. R. (1997) · Journal of Artificial Intelligence Research · doi:10.1613/jair.346 · Cited by 1,350 · see citing works
The ART of adaptive pattern recognition by a self-organizing neural network
Carpenter, G. A., & Grossberg, S. (1988) · Computer · doi:10.1109/2.33 · Cited by 1,278 · see citing works
Self-citationDayan, P., Hinton, G. E., Neal, R. M., & Zemel, R. S. (1995) · Neural Computation · doi:10.1162/neco.1995.7.5.889 · Cited by 1,207 · see citing works
An introduction to neural computing
Kohonen, T. (1988) · Neural Networks · doi:10.1016/0893-6080(88)90020-2 · Cited by 1,201 · see citing works
Reduction Techniques for Instance-Based Learning Algorithms
Wilson, D. R., & Martinez, T. R. (2000) · Machine Learning · doi:10.1023/a:1007626913721 · Cited by 1,182 · see citing works
Adaptive bidirectional associative memories
Kosko, B. (1987) · Applied Optics · doi:10.1364/ao.26.004947 · Cited by 1,114 · see citing works
On the computational architecture of the neocortex: II The role of cortico-cortical loops
Mumford, D. (1992) · Biological Cybernetics · doi:10.1007/bf00198477 · Cited by 1,074 · see citing works
The "Wake-Sleep" Algorithm for Unsupervised Neural Networks
Hinton, G. E., Dayan, P., Frey, B. J., & Neal, R. M. (1995) · Science · doi:10.1126/science.7761831 · Cited by 1,070 · see citing works
Inference in artificial intelligence with deep optics and photonics
Wetzstein, G., Özcan, A., Gigan, S., Fan, S., Englund, D. R., Marin Soljacic, A., Denz, C., Miller, D. A. B., & Psaltis, D. (2020) · Nature · doi:10.1038/s41586-020-2973-6 · Cited by 1,043 · see citing works
Recurrent convolutional neural network for object recognition
Liang, M., & Hu, X. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298958 · Cited by 1,013 · see citing works
Hecht-Nielsen, R. (1992) · Elsevier eBooks · doi:10.1016/b978-0-12-741252-8.50010-8 · Cited by 1,003 · see citing works
Carpenter, G. A., Grossberg, S., & Reynolds, J. H. (1991) · Neural Networks · doi:10.1016/0893-6080(91)90012-t · Cited by 981 · see citing works
Self-citationHow Do Expectations Shape Perception?
de Lange, F. P., Heilbron, M., & Kok, P. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.06.002 · Cited by 975 · see citing works
On the computational architecture of the neocortex: I. The role of the thalamo-cortical loop
Mumford, D. (1991) · Biological Cybernetics · doi:10.1007/bf00202389 · Cited by 929 · see citing works
Ratcliff, R. (1990) · Psychological Review · doi:10.1037/0033-295x.97.2.285 · Cited by 892 · see citing works
Foundations of neural networks, fuzzy systems, and knowledge engineering
Kasabov, N. K. (1997) · Choice Reviews Online · doi:10.5860/choice.35-0330 · Cited by 821 · see citing works
Bullock, D. H., & Grossberg, S. (1988) · Psychological Review · doi:10.1037/0033-295x.95.1.49 · Cited by 810 · see citing works
Self-citationFuzzy min-max neural networks. I. Classification
Simpson, P. K. (1992) · IEEE Transactions on Neural Networks · doi:10.1109/72.159066 · Cited by 781 · see citing works
SUSTAIN: A Network Model of Category Learning.
Love, B. C., Medin, D. L., & Gureckis, T. M. (2004) · Psychological Review · doi:10.1037/0033-295x.111.2.309 · Cited by 778 · see citing works
Merging information in speech recognition: Feedback is never necessary
Norris, D. G., McQueen, J. M., & Cutler, A. (2000) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00003241 · Cited by 755 · see citing works
A retrieval theory of priming in memory.
Ratcliff, R., & McKoon, G. (1988) · Psychological Review · doi:10.1037/0033-295x.95.3.385 · Cited by 748 · see citing works
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated
Kumaran, D., Hassabis, D., & McClelland, J. L. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.05.004 · Cited by 736 · see citing works
Activity of neurons in anterior inferior temporal cortex during a short- term memory task
Miller, E. K., Li, L., & Desimone, R. (1993) · Journal of Neuroscience · doi:10.1523/jneurosci.13-04-01460.1993 · Cited by 732 · see citing works
Competition for consciousness among visual events: The psychophysics of reentrant visual processes.
Lollo, V. D., Enns, J. T., & Rensink, R. A. (2000) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.129.4.481 · Cited by 722 · see citing works
Shortlist B: A Bayesian model of continuous speech recognition.
Norris, D. G., & McQueen, J. M. (2008) · Psychological Review · doi:10.1037/0033-295x.115.2.357 · Cited by 687 · see citing works
Metaheuristics: A bibliography
Osman, I. H., & Gilbert Laporte, A. (1996) · Annals of Operations Research · doi:10.1007/bf02125421 · Cited by 674 · see citing works
Use of neural nets for dynamic modeling and control of chemical process systems
Bhat, N., & McAvoy, T. J. (1990) · Computers & Chemical Engineering · doi:10.1016/0098-1354(90)87028-n · Cited by 672 · see citing works
Computational Intelligence: An Introduction
Fulcher, J. (2008) · Studies in computational intelligence · doi:10.1007/978-3-540-78293-3_1 · Cited by 633 · see citing works
Bridging emotion theory and neurobiology through dynamic systems modeling
Lewis, M. D. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0500004x · Cited by 618 · see citing works
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection
Xu, L., Krzyżak, A., & Erkki Oja, A. (1993) · IEEE Transactions on Neural Networks · doi:10.1109/72.238318 · Cited by 613 · see citing works
Introduction to neural networks
Cross, S. S., Harrison, R. F., & Kennedy, R. L. (1995) · The Lancet · doi:10.1016/s0140-6736(95)91746-2 · Cited by 615 · see citing works
Convergent activation dynamics in continuous time networks
Hirsch, M. W. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90018-x · Cited by 585 · see citing works
Sarker, I. H. (2021) · SN Computer Science · doi:10.1007/s42979-021-00765-8 · Cited by 570 · see citing works
Neuromodulation and cortical function: modeling the physiological basis of behavior
Hasselmo, M. E. (1995) · Behavioural Brain Research · doi:10.1016/0166-4328(94)00113-t · Cited by 552 · see citing works
Large-scale cortical networks and cognition
Bressler, S. L. (1995) · Brain Research Reviews · doi:10.1016/0165-0173(94)00016-i · Cited by 548 · see citing works
Grossberg, S. (2012) · Neural Networks · doi:10.1016/j.neunet.2012.09.017 · Cited by 542 · see citing works
Self-citationA survey of fuzzy clustering algorithms for pattern recognition. I
Baraldi, A., & Blonda, P. N. (1999) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/3477.809032 · Cited by 530 · see citing works
Constructive Incremental Learning from Only Local Information
Schaal, S., & Atkeson, C. G. (1998) · Neural Computation · doi:10.1162/089976698300016963 · Cited by 516 · see citing works
Fuzzy min-max neural networks - Part 2: Clustering
Simpson, P. K. (1993) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.1993.390282 · Cited by 506 · see citing works
The spatial coding model of visual word identification.
Davis, C. J. (2010) · Psychological Review · doi:10.1037/a0019738 · Cited by 494 · see citing works
Ghosh‐Dastidar, S., & Adeli, H. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.04.003 · Cited by 490 · see citing works
Carpenter, G. A., & Grossberg, S. (1990) · Neural Networks · doi:10.1016/0893-6080(90)90085-y · Cited by 481 · see citing works
Self-citationToward a quantitative description of large-scale neocortical dynamic function and EEG
Nunez, P. L. (2000) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00003253 · Cited by 462 · see citing works
ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition
Carpenter, G. A., Grossberg, S., & Rosen, D. B. (1991) · Neural Networks · doi:10.1016/0893-6080(91)90045-7 · Cited by 466 · see citing works
Self-citationLearning to Learn without Forgetting by Maximizing Transfer and Minimizing InterferencePreprint
Riemer, M., Cases, I., Ajemian, R., Liu, M., Rish, I., Tu, Y., & Tesauro, G. J. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1810.11910 · Cited by 534 · see citing works
Traffic sign recognition and analysis for intelligent vehicles
de la Escalera, A., Armingol, J. M., & Mata, M. O. (2003) · Image and Vision Computing · doi:10.1016/s0262-8856(02)00156-7 · Cited by 458 · see citing works
Fuzzy Petri nets for rule-based decisionmaking
Looney, C. G. (1988) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.87067 · Cited by 445 · see citing works
3-D vision and figure-ground separation by visual cortex
Grossberg, S. (1994) · Perception & Psychophysics · doi:10.3758/bf03206880 · Cited by 438 · see citing works
Self-citationCoordinating perceptually grounded categories through language: A case study for colour
steels, L., & belpaeme, T. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x05000087 · Cited by 440 · see citing works
Neural network models for pattern recognition and associative memory
Carpenter, G. A. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90035-x · Cited by 417 · see citing works
Self-citationArtificial Neural Networks for Misuse Detection
Cannady, J. (1998) · Cited by 417 · see citing works
Online continual learning in image classification: An empirical survey
Mai, Z., Li, R., Jeong, J., Quispe, D., Kim, H., & Sanner, S. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.10.021 · Cited by 422 · see citing works
The Link between Brain Learning, Attention, and Consciousness
Grossberg, S. (1999) · Consciousness and Cognition · doi:10.1006/ccog.1998.0372 · Cited by 408 · see citing works
Self-citationDistributed Intelligent Energy Management System for a Single-Phase High-Frequency AC Microgrid
Chakraborty, S., Weiss, M. D., & Simões, M. G. (2007) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2006.888766 · Cited by 413 · see citing works
A connectionist multiple-trace memory model for polysyllabic word reading.
Ans, B., Carbonnel, S., & Valdois, S. (1998) · Psychological Review · doi:10.1037/0033-295x.105.4.678-723 · Cited by 409 · see citing works
Dropout prediction in e-learning courses through the combination of machine learning techniques
Lykourentzou, I., Giannoukos, I., Nikolopoulos, V., Mpardis, G., & Loumos, V. G. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.05.010 · Cited by 401 · see citing works
A modified version of the K-means algorithm with a distance based on cluster symmetry
Su, M., & Chou, C.-H. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927466 · Cited by 391 · see citing works
Neural networks: An overview of early research, current frameworks and new challenges
Prieto, A., Prieto, B., Ortigosa, E. M., Ros, E., Pelayo, F. J., Ortega, J., & Rojas, I. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.06.014 · Cited by 396 · see citing works
Neural dynamics of adaptive timing and temporal discrimination during associative learning
Grossberg, S., & Schmajuk, N. A. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90026-9 · Cited by 367 · see citing works
Self-citationArtificial Neural-Net Based Dynamic Security Assessment for Electric Power Systems
Šobajić, D. J., & Pao, Y. (1989) · IEEE Power Engineering Review · doi:10.1109/mper.1989.4310480 · Cited by 361 · see citing works
Artificial neural-net based dynamic security assessment for electric power systems
Šobajić, D. J., & Pao, Y.-H. (1989) · IEEE Transactions on Power Systems · doi:10.1109/59.32481 · Cited by 352 · see citing works
Clustering Algorithms in Biomedical Research: A Review
Xu, R., & Wunsch, D. C. (2010) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2010.2083647 · Cited by 354 · see citing works
Least mean square error reconstruction principle for self-organizing neural-nets
Xu, L. (1993) · Neural Networks · doi:10.1016/s0893-6080(05)80107-8 · Cited by 341 · see citing works
Review of neural network applications in medical imaging and signal processing
Miller, A. S., Blott, B. H., & Hames, T. K. (1992) · Medical & Biological Engineering & Computing · doi:10.1007/bf02457822 · Cited by 329 · see citing works
Clustering: A neural network approach
Du, K.-L. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.08.007 · Cited by 326 · see citing works
Statistical learning of visual transitions in monkey inferotemporal cortex
Meyer, T., & Olson, C. R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112895108 · Cited by 325 · see citing works
Cortical dynamics of three-dimensional form, color, and brightness perception: II. Binocular theory
Grossberg, S. (1987) · Perception & Psychophysics · doi:10.3758/bf03204875 · Cited by 324 · see citing works
Self-citationNeural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS
Bergmeir, C., & Benítez, J. M. (2012) · Journal of Statistical Software · doi:10.18637/jss.v046.i07 · Cited by 316 · see citing works
Gaussian ARTMAP: A Neural Network for Fast Incremental Learning of Noisy Multidimensional Maps
Williamson, J. R. (1996) · Neural Networks · doi:10.1016/0893-6080(95)00115-8 · Cited by 312 · see citing works
Applications of counterpropagation networks
Hecht-Nielsen, R. (1988) · Neural Networks · doi:10.1016/0893-6080(88)90015-9 · Cited by 309 · see citing works
Grossberg, S., & Levine, D. S. (1987) · Applied Optics · doi:10.1364/ao.26.005015 · Cited by 302 · see citing works
Self-citationWays of coloring: Comparative color vision as a case study for cognitive science
Thompson, E. T., Palacios, A. G., & Varela, F. J. (1992) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00067248 · Cited by 289 · see citing works
Information theoretic clustering
Gökçay, E., & Príncipe, J. C. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.982897 · Cited by 293 · see citing works
Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex
Rao, R. P. N., & Ballard, D. H. (1997) · Neural Computation · doi:10.1162/neco.1997.9.4.721 · Cited by 290 · see citing works
Grossberg, S., & Raizada, R. D. S. (2000) · Vision Research · doi:10.1016/s0042-6989(99)00229-1 · Cited by 289 · see citing works
Self-citationDifferentiating Phonotactic Probability and Neighborhood Density in Adult Word Learning
Storkel, H. L., Armbruster, J. L., & Hogan, T. P. (2006) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2006/085 · Cited by 286 · see citing works
Event related potentials during object recognition tasks
Zhang, X. L., Begleiter, H., Bernice Porjesz, A., Wang, W., & Litke, A. (1995) · Brain Research Bulletin · doi:10.1016/0361-9230(95)02023-5 · Cited by 274 · see citing works
Computational Intelligence: Concepts to Implementations
Eberhart, R. C. (2007) · Cited by 269 · see citing works
- Authors
- Carpenter, G. A., & Grossberg, S.
- Affiliations
- Boston University (US)
- ORCID
- Grossberg, Stephen
- Venue
- Computer Vision, Graphics, and Image Processing
- Publisher
- Elsevier BV
- Published
- 1987-01
- Volume
- 37
- Issue
- 1
- Pages
- 54-115
- ISSN
- 0734-189X (ISSN-L)
- OpenAlex
- W2144219012
- Cited by
- 2,525
- References
- 44
- Citations by year
- 2026: 13 · 2025: 33 · 2024: 23 · 2023: 26 · 2022: 24 · 2021: 41 · 2020: 37 · 2019: 54 · 2018: 37 · 2017: 44 · 2016: 42 · 2015: 58 · 2014: 57 · 2013: 57 · 2012: 77
- FWCI
- 66.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computer Vision Graphics and Image Processing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Computing and Networks
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- self-organizing neural networks, pattern recognition, category learning, top-down attention, prototype, attentional priming, gain control, sustained attention, intermodal competition, parallel search, template learning, invariant features, emergent properties
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
