The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
The induction of dynamical recognizers
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Fractal Geometry of Nature
Mandelbrot, B. B., & Wheeler, J. A. (1983) · American Journal of Physics · doi:10.1119/1.13295 · Cited by 21,832
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
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
A logical calculus of the ideas immanent in nervous activity
McCulloch, W. S., & Pitts, W. (1943) · The Bulletin of Mathematical Biophysics · doi:10.1007/bf02478259 · Cited by 18,566
Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
Rumelhart, D. E., McClelland, J. L., & AU (1986) · doi:10.7551/mitpress/5236.001.0001 · Cited by 15,686
The Fractal Geometry of Nature.
Sparrow, C., & Mandelbrot, B. (1984) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2981858 · Cited by 14,546
ASPECTS OF THE THEORY OF SYNTAX
Chomsky, N. (1964) · doi:10.21236/ad0616323 · Cited by 13,587
Elman, J. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1402_1 · Cited by 11,212
An introduction to computing with neural nets
Lippmann, R. (1987) · IEEE ASSP Magazine · doi:10.1109/massp.1987.1165576 · Cited by 7,825
Measuring the strangeness of strange attractors
Grassberger, P., & Procaccia, I. (1983) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(83)90298-1 · Cited by 5,650
Connectionism and cognitive architecture: A critical analysis
Fodor, J. A., & Pylyshyn, Z. W. (1988) · Cognition · doi:10.1016/0010-0277(88)90031-5 · Cited by 4,022
Barnsley, M. F. (1988) · Cited by 3,578
Language identification in the limit
Gold, E. M. (1967) · Information and Control · doi:10.1016/s0019-9958(67)91165-5 · Cited by 3,572
(1989) · Long Range Planning · doi:10.1016/0024-6301(89)90186-6 · Cited by 3,431
Three models for the description of language
Chomsky, N. (1956) · IEEE Transactions on Information Theory · doi:10.1109/tit.1956.1056813 · Cited by 2,796
Advances in Neural Information Processing Systems 37
(2024) · doi:10.52202/079017 · Cited by 2,791
Gleick, J., Goodwin, B. M., Stewart, I., & Hanson, B. E. (1987) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,707
Computation: Finite and Infinite Machines.
Clarke, D. A., & Minsky, M. L. (1968) · The American Mathematical Monthly · doi:10.2307/2313471 · Cited by 2,583
An Introduction to Chaotic Dynamical Systems
Devaney, R. L., & Eckmann, J.-P. (1987) · Physics Today · doi:10.1063/1.2820117 · Cited by 2,344
Hornik, K., Stinchcombe, M., & White, H. (1990) · Neural Networks · doi:10.1016/0893-6080(90)90005-6 · Cited by 2,111
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 2,097
Universality and complexity in cellular automata
Wolfram, S. (1984) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(84)90245-8 · Cited by 1,914
Language Learnability and Language Development
Bialystok, E., & Pinker, S. (1986) · The Modern Language Journal · doi:10.2307/327334 · Cited by 1,816
Information processing in dynamical systems: foundations of harmony theory
Smolensky, P. (1986) · The MIT Press eBooks · Cited by 1,671
Language Learnability and Language Development
Pye, C., & Pinker, S. (1985) · Language · doi:10.2307/414499 · Cited by 1,665
Pinker, S., & Prince, A. (1988) · Cognition · doi:10.1016/0010-0277(88)90032-7 · Cited by 1,620
Formal Principles of Language Acquisition
Baker, C. L., Wexler, K., & Culicover, P. W. (1982) · Language · doi:10.2307/414105 · Cited by 1,513
Mechanisms of Language Acquisition
(2014) · Psychology Press eBooks · doi:10.4324/9781315798721 · Cited by 1,408
Complexity, Entropy And The Physics Of Information
H. Zurek, W. (2018) · CRC Press eBooks · doi:10.1201/9780429502880 · Cited by 1,380
Natural language and natural selection
Pinker, S., & Bloom, P. (1990) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00081061 · Cited by 1,330
The Biology and Evolution of Language.
Beck, B. B., & Lieberman, P. (1985) · Man · doi:10.2307/2802450 · Cited by 1,172
A method for synthesizing sequential circuits
Mealy, G. H. (1955) · The Bell System Technical Journal · doi:10.1002/j.1538-7305.1955.tb03788.x · Cited by 1,021
Generalization of back-propagation to recurrent neural networks
Pineda, F. J. (1987) · Physical Review Letters · doi:10.1103/physrevlett.59.2229 · Cited by 931
On the Length of Programs for Computing Finite Binary Sequences: statistical considerations
Chaitin, G. J. (1969) · Journal of the ACM · doi:10.1145/321495.321506 · Cited by 918
On the Length of Programs for Computing Finite Binary Sequences
Chaitin, G. J. (1966) · Journal of the ACM · doi:10.1145/321356.321363 · Cited by 913
Anderson, J. A., Silverstein, J. W., Ritz, S. A., & Jones, R. S. (1977) · Psychological Review · doi:10.1037//0033-295x.84.5.413 · Cited by 899
Inductive Inference: Theory and Methods
Angluin, D., & Smith, C. H. (1983) · ACM Computing Surveys · doi:10.1145/356914.356918 · Cited by 887
Recursive distributed representations
Pollack, J. B. (1990) · Artificial Intelligence · doi:10.1016/0004-3702(90)90005-k · Cited by 852
Self-citationComplexity of automaton identification from given data
Gold, E. M. (1978) · Information and Control · doi:10.1016/s0019-9958(78)90562-4 · Cited by 771
Intuition in insight and noninsight problem solving
Metcalfe, J., & Wiebe, D. (1987) · Memory & Cognition · doi:10.3758/bf03197722 · Cited by 744
The Acquisition of Syntactic Knowledge
(1986) · Telematics and Informatics · doi:10.1016/s0736-5853(86)80070-3 · Cited by 664
Learning State Space Trajectories in Recurrent Neural Networks
Pearlmutter, B. A. (1989) · Neural Computation · doi:10.1162/neco.1989.1.2.263 · Cited by 656
Joshi, A. K. (1985) · Natural Language Parsing · doi:10.1017/cbo9780511597855.007 · Cited by 560
The Acquisition of Syntactic Knowledge
Berwick, R. C. (1985) · The MIT Press eBooks · doi:10.7551/mitpress/1074.001.0001 · Cited by 510
Natural Language Parsing: Psychological, Computational, and Theoretical Perspectives
(1985) · Cambridge University Press eBooks · doi:10.1017/cbo9780511597855 · Cited by 461
Chaos, Strange Attractors, and Fractal Basin Boundaries in Nonlinear Dynamics
Grebogi, C., Ott, E., & Yorke, J. A. (1987) · Science · doi:10.1126/science.238.4827.632 · Cited by 436
Unpredictability and undecidability in dynamical systems
Moore, C. (1990) · Physical Review Letters · doi:10.1103/physrevlett.64.2354 · Cited by 414
Crutchfield, J. P., Farmer, J. D., Packard, N. H., & Shaw, R. S. (1986) · Scientific American · doi:10.1038/scientificamerican1286-46 · Cited by 349
AN INTRODUCTION TO CHAOTIC DYNAMICAL SYSTEMS
Manning, A. K. (1988) · Bulletin of the London Mathematical Society · doi:10.1112/blms/20.4.376 · Cited by 346
Language Learnability and Language Development: With New Commentary by the Author
Pinker, S. (1996) · Harvard University Press eBooks · doi:10.4159/9780674042179 · Cited by 305
Lapedes, A., & Farber, R. (1989) · Evolution, Learning and Cognition · doi:10.1142/9789814434102_0012 · Cited by 292
Back Propagation is Sensitive to Initial Conditions
Kolen, J. F., & Pollack, J. B. (1990) · Cited by 271
Self-citationOn the complexity of minimum inference of regular sets
Angluin, D. (1978) · Information and Control · doi:10.1016/s0019-9958(78)90683-6 · Cited by 251
PDP models and general issues in cognitive science
Rumelhart, D. E., & McClelland, J. L. (1986) · The MIT Press eBooks · Cited by 213
The Convergence of Mildly Context-Sensitive Grammar Formalisms
Joshi, A. K., Vijay‐Shanker, K., & Weir, D. J. (1990) · ScholarlyCommons (University of Pennsylvania) · Cited by 192
Computation : Finite And Infinite Machines
Minsky, M. L. (1956) · CERN Document Server (European Organization for Nuclear Research) · Cited by 190
Some decidability results on grammatical inference and complexity
Feldman, J. (1972) · Information and Control · doi:10.1016/s0019-9958(72)90424-x · Cited by 176
Learning Sequential Structure in Simple Recurrent Networks
Servan‐Schreiber, D., Cleeremans, A., & McClelland, J. L. (1988) · Cited by 162
Studying the Earth by Very-Long-Baseline Interferometry
Carter, W. E., & Robertson, D. S. (1986) · Scientific American · doi:10.1038/scientificamerican1186-46 · Cited by 145
Higher Order Recurrent Networks and Grammatical Inference
Giles, C. L., Sun, G.-Z., Chen, H.-H., Lee, Y.-C., & Chen, D. (1989) · neural information processing systems · Cited by 101
A note on chaotic behavior in simple neural networks
van der Maas, H. L. J., Verschure, P. F. M. J., & Molenaar, P. C. M. (1990) · Neural Networks · doi:10.1016/0893-6080(90)90050-u · Cited by 75
A distributed connectionist representation for concept structures
Touretzky, D. S., Geva, S., & Project., A. I. A. P. (2018) · Figshare · doi:10.1184/r1/6587366 · Cited by 74
Implications of Recursive Distributed Representations
Pollack, J. B. (1988) · Cited by 41
Self-citationChaotic behavior of a layered neural network
Derrida, B., & Meir, R. (1988) · Physical Review A · doi:10.1103/physreva.38.3116 · Cited by 31
Encoding Sequential Structure in Simple Recurrent Networks
Servan-Schreiber, D., Cleeremans, A., & McClelland, J. L. (1988) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · Cited by 22
CHAOTIC BEHAVIOR OF A NEURAL NETWORK WITH DYNAMICAL THRESHOLDS
Hendin, O., Horn, D., & Usher, M. (1991) · International Journal of Neural Systems · doi:10.1142/s0129065791000364 · Cited by 17
(1984)
Cited by
Maass, W., Natschläger, T., & Markram, H. (2002) · Neural Computation · doi:10.1162/089976602760407955 · Cited by 4,025
Sukhbaatar, S., Szlam, A., Weston, J., & Fergus, R. (2015) · arXiv · doi:10.48550/arxiv.1503.08895 · Cited by 1,345
Pulvermüller, F. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x9900182x · Cited by 1,284
Dynamical approaches to cognitive science
Beer, R. D. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01440-0 · Cited by 639
Computational capabilities of recurrent NARX neural networks
Siegelmann, H. T., Horne, B. G., & Giles, C. L. (1997) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/3477.558801 · Cited by 455
Metadata
- Authors
- Pollack, J. B.
- Venue
- Machine Learning
- Published
- 1991-09
- Volume
- 7
- Issue
- 2-3
- Pages
- 227-252
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2071906671
- Cited by
- 294
- References
- 67
- FWCI
- 19.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
