Leonid I. Perlovsky

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34EEJosé F. Fontanari, Leonid I. Perlovsky: Object perception in the neural modeling fields framework. IJCNN 2008: 1774-1779
33EEDaniel S. Levine, Leonid I. Perlovsky: A network model of rational versus irrational choices on a probability maximization task. IJCNN 2008: 2820-2824
32EERobert Kozma, Leonid I. Perlovsky, JaiSantosh Ankishetty: Detection of propagating phase gradients in EEG signals using Model Field Theory of non-Gaussian mixtures. IJCNN 2008: 3524-3529
31EEBoris Kovalerchuk, Leonid I. Perlovsky: Dynamic logic of phenomena and cognition. IJCNN 2008: 3530-3537
30EEJosé F. Fontanari, Leonid I. Perlovsky: How language can help discrimination in the Neural Modelling Fields framework. Neural Networks 21(2-3): 250-256 (2008)
29EELeonid I. Perlovsky: Emotional Cognitive Agents with Adaptive Ontologies. AIS-ADM 2007: 293-304
28EEJosé F. Fontanari, Leonid I. Perlovsky: Language acquisition and category discrimination in the Modeling Field Theory framework. IJCNN 2007: 1180-1185
27EERobert Kozma, Ross W. Deming, Leonid I. Perlovsky: Estimation of Propagating Phase Transients in EEG Data - Application of Dynamic Logic Neural Modeling Approach. IJCNN 2007: 2341-2345
26EERobert Linnehan, John Schindler, David Brady, Robert Kozma, Ross W. Deming, Leonid I. Perlovsky: Resolving Wall Ambiguities Using Angular Diverse Synthetic Arrays. IJCNN 2007: 2758-2763
25EERoss W. Deming, John Schindler, Leonid I. Perlovsky: Neural Modeling Fields for Multitarget/Multisensor Tracking. IJCNN 2007: 442-447
24EELeonid I. Perlovsky: Neural Modeling Fields, Evolution of Consciousness and Cultures. IJCNN 2007: 460-465
23EELeonid I. Perlovsky: Neural Modeling Fields for Natural Language. IJCNN 2007: 466-470
22EEJosé F. Fontanari, Leonid I. Perlovsky: Evolving Compositionality in Evolutionary Language Games. IEEE Trans. Evolutionary Computation 11(6): 758-769 (2007)
21EELeonid I. Perlovsky, Ross W. Deming: Neural Networks for Improved Tracking. IEEE Transactions on Neural Networks 18(6): 1854-1857 (2007)
20EELeonid I. Perlovsky: Cognitive high level information fusion. Inf. Sci. 177(10): 2099-2118 (2007)
19EELeonid I. Perlovsky: Concurrent learning and fusion. Information Fusion 8(3): 224-226 (2007)
18EERoss W. Deming, Leonid I. Perlovsky: Concurrent multi-target localization, data association, and navigation for a swarm of flying sensors. Information Fusion 8(3): 316-330 (2007)
17EEVadim Tikhanoff, José F. Fontanari, Angelo Cangelosi, Leonid I. Perlovsky: Language and Cognition Integration Through Modeling Field Theory: Category Formation for Symbol Grounding. ICANN (1) 2006: 376-385
16EELeonid I. Perlovsky: Integrated Emotions, Cognition, and Language. IJCNN 2006: 1570-1575
15EEJosé F. Fontanari, Leonid I. Perlovsky: Meaning creation and communication in a community of agents. IJCNN 2006: 1583-1588
14EERoss W. Deming, Shawn Higbee, Derek Dwyer, Michael Welser, Leonid I. Perlovsky, Paola Pellegrini: Adaptive Estimation for Spectral-Temporal Characterization of Energetic Transient Events. IJCNN 2006: 1742-1749
13EELeonid I. Perlovsky: Neural Dynamic Logic of Consciousness: the Knowledge Instinct. IJCNN 2006: 377-383
12EEJosé F. Fontanari, Leonid I. Perlovsky: Categorization and symbol grounding in a complex environment. IJCNN 2006: 4940-4946
11EELeonid I. Perlovsky: Higher Cognitive Abilities (Toward a Physical Theory of the Mind). IJCNN 2006: 4947-4953
10EELeonid I. Perlovsky: Evolving Agents: Communication and Cognition. AIS-ADM 2005: 37-49
9EELeonid I. Perlovsky: Conundrum of Combinatorial Complexity. IEEE Trans. Pattern Anal. Mach. Intell. 20(6): 666-670 (1998)
8EELeonid I. Perlovsky, William H. Schoendorf, Bernard J. Burdick, David M. Tye: Model-based neural network for target detection in SAR images. IEEE Transactions on Image Processing 6(1): 203-216 (1997)
7EELeonid I. Perlovsky, Charles P. Plum, Peter R. Franchi, Elihu J. Tichovolsky, David Choi, Bertus Weijers: Einsteinian neural network for spectrum estimation. Neural Networks 10(9): 1541-1546 (1997)
6EELeonid I. Perlovsky: Cramer-Rao bound for tracking in clutter and tracking multiple objects. Pattern Recognition Letters 18(3): 283-288 (1997)
5EELeonid I. Perlovsky, Julian A. Chernick, William H. Schoendorf: Multi-sensor ATR and identification of friend or foe using MLANS. Neural Networks 8(7-8): 1185-1200 (1995)
4EELeonid I. Perlovsky: A model-based neural network for transient signal processing. Neural Networks 7(3): 565-572 (1994)
3EELeonid I. Perlovsky, John Jaskolski: Maximum likelihood adaptive neural controller. Neural Networks 7(4): 671-680 (1994)
2EELeonid I. Perlovsky, Margaret M. McManus: Maximum likelihood neural networks for sensor fusion and adaptive classification. Neural Networks 4(1): 89-102 (1991)
1EELeonid I. Perlovsky: Cramer-Rao bounds for the estimation of normal mixtures. Pattern Recognition Letters 10(3): 141-148 (1989)

Coauthor Index

1JaiSantosh Ankishetty [32]
2David Brady [26]
3Bernard J. Burdick [8]
4Angelo Cangelosi [17]
5Julian A. Chernick [5]
6David Choi [7]
7Ross W. Deming [14] [18] [21] [25] [26] [27]
8Derek Dwyer [14]
9José F. Fontanari [12] [15] [17] [22] [28] [30] [34]
10Peter R. Franchi [7]
11Shawn Higbee [14]
12John Jaskolski [3]
13Boris Kovalerchuk [31]
14Robert Kozma [26] [27] [32]
15Daniel S. Levine [33]
16Robert Linnehan [26]
17Margaret M. McManus [2]
18Paola Pellegrini [14]
19Charles P. Plum [7]
20John Schindler [25] [26]
21William H. Schoendorf [5] [8]
22Elihu J. Tichovolsky [7]
23Vadim Tikhanoff [17]
24David M. Tye [8]
25Bertus Weijers [7]
26Michael Welser [14]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)