Cited by 2,525Neural Networks and ApplicationsCognitive Computing and NetworksNeural dynamics and brain function

The DOI matches its Crossref record; 42 of the 44 references it cites were found in a registry or an index.

A massively parallel architecture for a self-organizing neural pattern recognition machine

Carpenter, Gail A., Grossberg, Stephen·1987·Computer Vision, Graphics, and Image Processing

DOI 10.1016/s0734-189x(87)80014-2

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/s0734-189x(87)80014-2

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

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
The Organization of Behavior
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
The organization of behavior.
indicated, N. A. (1950) · Journal of Consulting Psychology · doi:10.1037/h0049612 · Cited by 6,984
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
Fukushima, K. (1980) · Biological Cybernetics · doi:10.1007/bf00344251 · Cited by 5,759
Categories and Concepts
Smith, E. E., & Medin, D. L. (1981) · Harvard University Press eBooks · doi:10.4159/harvard.9780674866270 · Cited by 2,653
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
Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors
Grossberg, S. (1976) · Biological Cybernetics · doi:10.1007/bf00344744 · Cited by 1,910
Self-citation
How 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
Self-citation
Distributed 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
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
Self-citation

Show all 44 references

Research works printed but not linked: 3

Carpenter, 1985, Neural dynamics of adaptive pattern recognition: Priming, search, attention, and category formation, Soc. Neurosci. Abstracts, 11, 1110
Cohen, 1986, Masking fields: A massively parallel architecture for discovering, learning, and recognizing multiple groupings of patterned data, Applied Optics
Grossberg, 1986, Cortical dynamics of three-dimensional form, color, and brightness perception: Parts I and II, Perception Psychophys.

Sorted by citations

Items 401–500 of 1,002

Continual Learning with Adaptive Weights (CLAW)
Adel, T., Zhao, H., & Turner, R. E. (2019) · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · doi:10.48550/arxiv.1911.09514 · Cited by 66
An intelligent decision support system for manufacturing technology investments
Tan, K. H., Lim, C. P., Platts, K. W., & Koay, H. (2005) · International Journal of Production Economics · doi:10.1016/j.ijpe.2005.02.010 · Cited by 50
Advances on BYY Harmony Learning: Information Theoretic Perspective, Generalized Projection Geometry, and Independent Factor Autodetermination
Li, X. (2004) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.828767 · Cited by 50
Multiattribute Decision Making in Context: A Dynamic Neural Network Methodology
Leven, S. J., & Levine, D. S. (1996) · Cognitive Science · doi:10.1016/s0364-0213(99)80008-1 · Cited by 60
A novel approach to the derivation of fuzzy membership functions using the Falcon-MART architecture
Quek, C. H., & Tung, W. L. (2001) · Pattern Recognition Letters · doi:10.1016/s0167-8655(01)00033-2 · Cited by 50
Comparative color vision and the objectivity of color
Hilbert, D. (1992) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00067388 · Cited by 50
Atomically thin optomemristive feedback neurons
Sarwat, S. G., Zhou, Y., Warner, J. H., & Bhaskaran, H. (2023) · Nature Nanotechnology · doi:10.1038/s41565-023-01391-6 · Cited by 51
Roadway Seasonal Classification Using Neural Networks
Faghri, A., & Hua, J. (1995) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)0887-3801(1995)9:3(209 · Cited by 49
Tracking of unusual events in wireless sensor networks based on artificial neural-networks algorithms
Kulakov, A., & Davcev, D. P. (2005) · International Conference on Information Technology: Coding and Computing (ITCC) · doi:10.1109/itcc.2005.281 · Cited by 49
FANNC: A Fast Adaptive Neural Network Classifier
Zhou, Z., Chen, S., & Chen, Z.-Q. (2000) · Knowledge and Information Systems · doi:10.1007/s101150050006 · Cited by 49
Case-Based Reasoning System and Artificial Neural Networks: A Review
Chen, D., & Burrell, P. (2001) · Neural Computing and Applications · doi:10.1007/pl00009897 · Cited by 49
The simulation and interpretation of free turbulence with a cognitive neural system
Giralt, F., Arenas, À., Ferré-Giné, J., Ralló, R., & Kopp, G. A. (2000) · Physics of Fluids · doi:10.1063/1.870430 · Cited by 49
On-line monitoring of tool breakage in face milling using a self-organized neural network
Ko, T. J., Cho, D.-W., & Jung, M.-P. (1995) · Journal of Manufacturing Systems · doi:10.1016/0278-6125(95)98889-e · Cited by 49
Personal computer system for ECG ST-segment recognition based on neural networks
Suzuki, Y., & Ono, K. (1992) · Medical & Biological Engineering & Computing · doi:10.1007/bf02446186 · Cited by 49
Adaptive Resonance Theory
Carpenter, G. A., & Grossberg, S. (2016) · Encyclopedia of Machine Learning and Data Mining · doi:10.1007/978-1-4899-7502-7_6-1 · Cited by 49
Self-citation
BARTMAP: A viable structure for biclustering
Xu, R., & Wunsch, D. C. (2011) · Neural Networks · doi:10.1016/j.neunet.2011.03.020 · Cited by 48
Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning
Teng, T.-H., Tan, A., & Żurada, J. M. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2327636 · Cited by 48
Colour image segmentation using the self-organizing map and adaptive resonance theory
Yeo, N. C., Lee, K., Venkatesh, Y. V., & Ong, S. H. (2005) · Image and Vision Computing · doi:10.1016/j.imavis.2005.07.008 · Cited by 48
Self-organizing neural networks for learning air combat maneuvers
Teng, T.-H., Tan, A., Tan, Y.-S., & Yeo, A. (2012) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2012.6252763 · Cited by 48
Self-processing networks and their biomedical implications
Reggia, J. A., & Sutton, G. G. (1988) · Proceedings of the IEEE · doi:10.1109/5.4457 · Cited by 48
Neural networks—Their applications and perspectives in intelligent machining
Barschdorff, D., & Monostori, L. (1991) · Computers in Industry · doi:10.1016/0166-3615(91)90024-4 · Cited by 48
Clustering in product space for fuzzy inference
Berenji, H. R., & Khedkar, P. S. (2002) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzzy.1993.327598 · Cited by 48
Neural Network Modeling
Levine, D. S. (2002) · Wiley eBooks · doi:10.1002/0471214426.pas0406 · Cited by 48
Attention is a sterile concept; iterative reentry is a fertile substitute
Lollo, V. D. (2018) · Consciousness and Cognition · doi:10.1016/j.concog.2018.02.005 · Cited by 46
Cortical dynamics of navigation and steering in natural scenes: Motion-based object segmentation, heading, and obstacle avoidance
Browning, N. A., Grossberg, S., & Ennio Mingolla, B. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.05.007 · Cited by 48
Self-citation
On-line deep learning method for action recognition
Charalampous, K., & Gasteratos, A. C. (2014) · Pattern Analysis and Applications · doi:10.1007/s10044-014-0404-8 · Cited by 47
Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps
Xu, R., Damelin, S. B., Nadler, B., & Wunsch, D. C. (2009) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2009.06.001 · Cited by 46
Success and failure of new speech category learning in adulthood: Consequences of learned Hebbian attractors in topographic maps
Vallabha, G. K., & McClelland, J. L. (2007) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.7.1.53 · Cited by 47
Computational Intelligence-Based Biometric Technologies
Zhang, D. D., & Zuo, W. (2007) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2007.353418 · Cited by 47
Magnetoencephalographic artifact identification and automatic removal based on independent component analysis and categorization approaches
Rong, F., & Contreras-Vidal, J. L. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2006.04.024 · Cited by 47
Modified ART 2A Growing Network Capable of Generating a Fixed Number of Nodes
He, J., Tan, A., & Tan, C. L. (2004) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.826220 · Cited by 47
Is there a mismatch negativity (MMN) in visual modality?
Cammann, R. (1990) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00078420 · Cited by 51
A Fuzzy ARTMAP-Based Quantitative Structure−Property Relationship (QSPR) for Predicting Physical Properties of Organic Compounds
Espinosa, G., Yaffe, D., Arenas, À., Cohen, Y., & Giralt, F. (2001) · Industrial & Engineering Chemistry Research · doi:10.1021/ie0008068 · Cited by 47
Classification of coal seams with respect to their spontaneous heating susceptibility—a neural network approach
Panigrahi, D. C., & Sahu, H. B. (2004) · Geotechnical and Geological Engineering · doi:10.1023/b:gege.0000047040.70764.90 · Cited by 46
Modulating the granularity of category formation by global cortical states
Kim, Y. (2008) · Frontiers in Computational Neuroscience · doi:10.3389/neuro.10.001.2008 · Cited by 47
Determining Reservoir Properties in Reservoir Studies Using a Fuzzy Neural Network
Zhou, C. D., Wu, X., & Cheng, J. (1993) · SPE Annual Technical Conference and Exhibition · doi:10.2118/26430-ms · Cited by 46
Neural dynamics of object-based multifocal visual spatial attention and priming: Object cueing, useful-field-of-view, and crowding
Foley, N. C., Grossberg, S., & Mingolla, E. (2012) · Cognitive Psychology · doi:10.1016/j.cogpsych.2012.02.001 · Cited by 46
Self-citation
Neurocontrol: A literature survey
Balakrishnan, S. N., & Weil, R. D. (1996) · Mathematical and Computer Modelling · doi:10.1016/0895-7177(95)00221-9 · Cited by 46
Anticipation-based temporal pattern generation
Wang, D. L., & Yuwono, B. (1995) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.370192 · Cited by 46
A neural network adaptive filter for the removal of impulse noise in digital images
Kong, H., & Guan, L. (1996) · Neural Networks · doi:10.1016/0893-6080(95)00128-x · Cited by 46
Clustering and classification in structured data domains using Fuzzy Lattice Neurocomputing (FLN)
Petridis, V., & Kaburlasos, V. G. (2001) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.917564 · Cited by 45
Unsupervised learning in noise
Kosko (1989) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.1989.118553 · Cited by 46
Optical pattern recognition: architectures and techniques
Yu, F. T. S., & Gregory, D. A. (1996) · Proceedings of the IEEE · doi:10.1109/5.488743 · Cited by 47
Positional character frequency and word spacing facilitate the acquisition of novel words during Chinese children's reading
Liang, F., Blythe, H. I., Zang, C., Bai, X., Yan, G., & Liversedge, S. P. (2015) · Journal of Cognitive Psychology · doi:10.1080/20445911.2014.1000918 · Cited by 45
A deployed engineering design retrieval system using neural networks
Smith, S. D. G., Escobedo, R., Anderson, M. R., & Caudell, T. P. (1997) · IEEE Transactions on Neural Networks · doi:10.1109/72.595882 · Cited by 45
Brain pathways for cognitive-emotional decision making in the human animal
Levine, D. S. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.03.003 · Cited by 49
An integrated approach for process monitoring using wavelet analysis and competitive neural network
Wang, C.-H., Kuo, W., & Qi, H. (2006) · International Journal of Production Research · doi:10.1080/00207540500442393 · Cited by 45
On the classification of multispectral satellite images using the multilayer perceptron
Venkatesh, Y. V., & Raja, S. K. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(03)00013-x · Cited by 46
Compound key word generation from document databases using a hierarchical clustering ART model
MUNOZ, A. (1997) · Intelligent Data Analysis · doi:10.1016/s1088-467x(98)00008-0 · Cited by 45
Frequency sensitive competitive learning for clustering on high-dimensional hyperspheres
Banerjee, A., & Ghosh, J. (2003) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2002.1007755 · Cited by 45
Computing with Neural Networks
Carpenter, G. A., Cohen, M. A., & Grossberg, S. (1987) · Science · doi:10.1126/science.3823881 · Cited by 45
Self-citation
Timing and chunking in processing temporal order
Wang, D., & Arbib, M. A. (1993) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.247884 · Cited by 45
A neural algorithm for document clustering
MacLeod, K., & Robertson, W. (1991) · Information Processing & Management · doi:10.1016/0306-4573(91)90088-4 · Cited by 45
Does implicit memory extend to legal and illegal nonwords?
Bowers, J. S. (1994) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.20.3.534 · Cited by 45
Stereo boundary fusion by cortical complex cells: A system of maps, filters, and feedback networks for multiplexing distributed data
Grossberg, S., & Marshall, J. A. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90013-0 · Cited by 45
Self-citation
Clustering in wavelet domain: A multiresolution ART network for anomaly detection
Aradhye, H. B., Bakshi, B. R., Davis, J. F., & Ahalt, S. C. (2004) · AIChE Journal · doi:10.1002/aic.10245 · Cited by 44
Language and Cognition Interaction Neural Mechanisms
PERLOVSKY, L. I. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/454587 · Cited by 47
Multistability in Networks With Self-Excitation and High-Order Synaptic Connectivity
Huang, Z., Song, Q., & Feng, C. (2010) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2009.2037401 · Cited by 44
Acetylcholine Neuromodulation in Normal and Abnormal Learning and Memory: Vigilance Control in Waking, Sleep, Autism, Amnesia and Alzheimer’s Disease
Grossberg, S. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00082 · Cited by 45
Self-citation
Social impact and governance of AI and neurotechnologies
Doya, K., Ema, A., Kitano, H., Sakagami, M., & Russell, S. (2022) · Neural Networks · doi:10.1016/j.neunet.2022.05.012 · Cited by 47
Recent Advances in Artificial Neural Networks
Jain, L. C. (2018) · CRC Press eBooks · doi:10.1201/9781351076210 · Cited by 44
Acquiring rule sets as a product of learning in a logical neural architecture
Healy, M. J. R., & Caudell, T. P. (1997) · IEEE Transactions on Neural Networks · doi:10.1109/72.572088 · Cited by 45
Competitive Learning: From Interactive Activation to Adaptive Resonance
Grossberg, S. (1988) · The MIT Press eBooks · doi:10.7551/mitpress/4934.003.0007 · Cited by 44
Self-citation
A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR)
Kaburlasos, V. G., & Papadakis, S. E. (2008) · Neurocomputing · doi:10.1016/j.neucom.2008.06.024 · Cited by 43
An overview of neural networks
Greenwood, D. (1991) · Systems Research and Behavioral Science · doi:10.1002/bs.3830360102 · Cited by 44
Where’s Waldo? How perceptual, cognitive, and emotional brain processes cooperate during learning to categorize and find desired objects in a cluttered scene
Chang, H.-C., Grossberg, S., & Cao, Y. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00043 · Cited by 44
Self-citation
An application of particle swarm optimization algorithm to clustering analysis
Kuo, R. J., Ming-Fang, W. A. N. G., & Huang, T. (2009) · Soft Computing · doi:10.1007/s00500-009-0539-5 · Cited by 43
How does the brain rapidly learn and reorganize view-invariant and position-invariant object representations in the inferotemporal cortex?
Cao, Y., Grossberg, S., & Markowitz, J. E. (2011) · Neural Networks · doi:10.1016/j.neunet.2011.04.004 · Cited by 44
Self-citation
Automatic Data Quality Evaluation for the AVM System
Huang, Y.-T., & Cheng, F. (2011) · IEEE Transactions on Semiconductor Manufacturing · doi:10.1109/tsm.2011.2154910 · Cited by 43
Privacy-preserving clustering for big data in cyber-physical-social systems: Survey and perspectives
Zhao, Y., Tarus, S. K., Yang, L. T., Sun, J., Ge, Y., & Wang, J. (2019) · Information Sciences · doi:10.1016/j.ins.2019.10.019 · Cited by 43
Mechanisms of competitive selection: A canonical neural circuit framework
Mysore, S. P., & Kothari, N. B. (2020) · eLife · doi:10.7554/elife.51473 · Cited by 43
Neural networks and the part family/ machine group formation problem in cellular manufacturing: A framework using fuzzy ART
Burke, L. I., & Kamal, S. (1995) · Journal of Manufacturing Systems · doi:10.1016/0278-6125(95)98883-8 · Cited by 43
Online pattern classification with multiple neural network systems: an experimental study
Lim, C. P., & Harrison, R. F. (2003) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2003.813150 · Cited by 43
Fuzzy ARTMAP and Back-Propagation Neural Networks Based Quantitative Structure−Property Relationships (QSPRs) for Octanol−Water Partition Coefficient of Organic Compounds
Yaffe, D., Cohen, Y., Espinosa, G., Arenas, À., & Giralt, F. (2002) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci0103267 · Cited by 43
Neural-network models of learning and memory: leading questions and an emerging framework
Carpenter, G. A. (2001) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01591-6 · Cited by 42
Self-citation
Application of wavelets and neural networks to diagnostic system development, 2, an integrated framework and its application
Wang, X. Z., Chen, B. H., Yang, S., & McGreavy, C. (1999) · Computers & Chemical Engineering · doi:10.1016/s0098-1354(99)00260-4 · Cited by 43
Cortical dynamics of contextually cued attentive visual learning and search: Spatial and object evidence accumulation.
Huang, T.-R., & Grossberg, S. (2010) · Psychological Review · doi:10.1037/a0020664 · Cited by 42
Self-citation
Neural Networks, Fuzzy Models and Dynamic Logic
PERLOVSKY, L. I. (2007) · Springer eBooks · doi:10.1007/978-3-540-37522-7_17 · Cited by 42
FACT: A new neural network-based clustering algorithm for group technology
KAMAL, S., & BURK, L. I. (1996) · International Journal of Production Research · doi:10.1080/00207549608904943 · Cited by 42
SCAN: A Scalable Model of Attentional Selection
Postma, E. O., van den Herik, H. J., & Hudson, P. T. W. (1997) · Neural Networks · doi:10.1016/s0893-6080(97)00034-8 · Cited by 41
A comparison of self-organizing neural networks for fast clustering of radar pulses
Granger, É., Savaria, Y., Lavoie, P., & Cantin, M.-A. (1998) · Signal Processing · doi:10.1016/s0165-1684(97)00194-1 · Cited by 42
Competitive learning algorithms for robust vector quantization
Hofmann, T., & Buhmann, J. M. (1998) · IEEE Transactions on Signal Processing · doi:10.1109/78.678486 · Cited by 42
SOVEREIGN: An autonomous neural system for incrementally learning planned action sequences to navigate towards a rewarded goal
Gnadt, W., & Grossberg, S. (2007) · Neural Networks · doi:10.1016/j.neunet.2007.09.016 · Cited by 42
Self-citation
Neural Representations for Sensorimotor Control. III. Learning a Body-Centered Representation of a Three-Dimensional Target Position
Guenther, F. H., Bullock, D. H., Greve, D. N., & Grossberg, S. (1994) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1994.6.4.341 · Cited by 41
Self-citation
An adaptive integrated fuzzy clustering model for pattern recognition
Kim, Y. S., & Mitra, S. D. (1994) · Fuzzy Sets and Systems · doi:10.1016/0165-0114(94)90026-4 · Cited by 42
Phoneme restoration and empirical coverage of interactive activation and adaptive resonance models of human speech processing
Magnuson, J. S. (2015) · The Journal of the Acoustical Society of America · doi:10.1121/1.4904543 · Cited by 41
Phoneme restoration and empirical coverage of Interactive Activation and Adaptive Resonance models of human speech processing
Grossberg, S., & Kazerounian, S. (2016) · The Journal of the Acoustical Society of America · doi:10.1121/1.4946760 · Cited by 41
Self-citation
Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering
Meng, L., Tan, A., & Wunsch, D. C. (2015) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2015.2498625 · Cited by 41
Neural Networks and Micromechanics
Kussul, E. M., Baydyk, T., & Wunsch, D. C. (2009) · Springer eBooks · doi:10.1007/978-3-642-02535-8 · Cited by 44
Video scene change detection using neural network: Improved ART2
Lee, M.-H., Yoo, H.-W., & Jang, D.-S. (2005) · Expert Systems with Applications · doi:10.1016/j.eswa.2005.09.031 · Cited by 41
An efficient neural classification chain of SAR and optical urban images
Gamba, P. E., & Houshmand, B. (2001) · International Journal of Remote Sensing · doi:10.1080/01431160118746 · Cited by 41
Computational concepts in classification: Neural networks, statistical pattern recognition, and model-based vision
PERLOVSKY, L. I. (1994) · Journal of Mathematical Imaging and Vision · doi:10.1007/bf01250006 · Cited by 40
Learning in the framework of fuzzy lattices
Petridis, V., & Kaburlasos, V. G. (1999) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.784201 · Cited by 41
Properties of learning related to pattern diversity in ART1
Georgiopoulos, M., Heileman, G. L., & Huang, J. (1991) · Neural Networks · doi:10.1016/0893-6080(91)90055-a · Cited by 41
Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale
Marshall, J. A. (1995) · Neural Networks · doi:10.1016/0893-6080(94)00099-8 · Cited by 41
Multiattribute Decision Making in Context: A Dynamic Neural Network Methodology
Leven, S. J., & Levine, D. S. (1996) · Cognitive Science · doi:10.1207/s15516709cog2002_4 · Cited by 41
Grandmother cells and localist representations: a review of current thinking
Bowers, J. S. (2017) · Language Cognition and Neuroscience · doi:10.1080/23273798.2016.1267782 · Cited by 40
Multi-label classification and extracting predicted class hierarchies
Brucker, F., Benites, F., & Sapozhnikova, E. P. (2010) · Pattern Recognition · doi:10.1016/j.patcog.2010.09.010 · Cited by 45
A sample-based hierarchical adaptive K-means clustering method for large-scale video retrieval
Liao, K., Liu, G., Li, X., & Liu, C. (2013) · Knowledge-Based Systems · doi:10.1016/j.knosys.2013.05.003 · Cited by 40
Cognitively Inspired Neural Network for Recognition of Situations
Ilin, R., & PERLOVSKY, L. I. (2010) · International Journal of Natural Computing Research · doi:10.4018/jncr.2010010102 · Cited by 39

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)
DOI: 10.1016/s0734-189x(87)80014-2
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
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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

A massively parallel architecture for a self-organizing neural pattern recognition machine

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks