 | 2009 |
|---|
| 39 |       | Robert Kozma,
Daniel S. Levine,
Leonid I. Perlovsky:
Introduction to the special issue on goal-directed neural systems.
Neural Networks 22(3): 197-199 (2009) |
| 38 | | Leonid I. Perlovsky:
Language and cognition.
Neural Networks 22(3): 247-257 (2009) |
| 37 | | Robert Kozma,
Steven L. Bressler,
Leonid I. Perlovsky,
Ganesh K. Venayagamoorthy:
Advances in neural networks research: An introduction.
Neural Networks 22(5-6): 489-490 (2009) |
| 36 | | Leonid I. Perlovsky:
Language and emotions: Emotional Sapir-Whorf hypothesis.
Neural Networks 22(5-6): 518-526 (2009) |
| 35 | | José F. Fontanari,
Vadim Tikhanoff,
Angelo Cangelosi,
Roman Ilin,
Leonid I. Perlovsky:
Cross-situational learning of object-word mapping using Neural Modeling Fields.
Neural Networks 22(5-6): 579-585 (2009) |
| 2008 |
|---|
| 34 | | José F. Fontanari,
Leonid I. Perlovsky:
Object perception in the neural modeling fields framework.
IJCNN 2008: 1774-1779 |
| 33 | | Daniel S. Levine,
Leonid I. Perlovsky:
A network model of rational versus irrational choices on a probability maximization task.
IJCNN 2008: 2820-2824 |
| 32 | | Robert 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 |
| 31 | | Boris Kovalerchuk,
Leonid I. Perlovsky:
Dynamic logic of phenomena and cognition.
IJCNN 2008: 3530-3537 |
| 30 | | José F. Fontanari,
Leonid I. Perlovsky:
How language can help discrimination in the Neural Modelling Fields framework.
Neural Networks 21(2-3): 250-256 (2008) |
| 2007 |
|---|
| 29 | | Leonid I. Perlovsky:
Emotional Cognitive Agents with Adaptive Ontologies.
AIS-ADM 2007: 293-304 |
| 28 | | José F. Fontanari,
Leonid I. Perlovsky:
Language acquisition and category discrimination in the Modeling Field Theory framework.
IJCNN 2007: 1180-1185 |
| 27 | | Robert 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 |
| 26 | | Robert 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 |
| 25 | | Ross W. Deming,
John Schindler,
Leonid I. Perlovsky:
Neural Modeling Fields for Multitarget/Multisensor Tracking.
IJCNN 2007: 442-447 |
| 24 | | Leonid I. Perlovsky:
Neural Modeling Fields, Evolution of Consciousness and Cultures.
IJCNN 2007: 460-465 |
| 23 | | Leonid I. Perlovsky:
Neural Modeling Fields for Natural Language.
IJCNN 2007: 466-470 |
| 22 | | José F. Fontanari,
Leonid I. Perlovsky:
Evolving Compositionality in Evolutionary Language Games.
IEEE Trans. Evolutionary Computation 11(6): 758-769 (2007) |
| 21 | | Leonid I. Perlovsky,
Ross W. Deming:
Neural Networks for Improved Tracking.
IEEE Transactions on Neural Networks 18(6): 1854-1857 (2007) |
| 20 | | Leonid I. Perlovsky:
Cognitive high level information fusion.
Inf. Sci. 177(10): 2099-2118 (2007) |
| 19 | | Leonid I. Perlovsky:
Concurrent learning and fusion.
Information Fusion 8(3): 224-226 (2007) |
| 18 | | Ross 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) |
| 2006 |
|---|
| 17 | | Vadim 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 |
| 16 | | Leonid I. Perlovsky:
Integrated Emotions, Cognition, and Language.
IJCNN 2006: 1570-1575 |
| 15 | | José F. Fontanari,
Leonid I. Perlovsky:
Meaning creation and communication in a community of agents.
IJCNN 2006: 1583-1588 |
| 14 | | Ross 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 |
| 13 | | Leonid I. Perlovsky:
Neural Dynamic Logic of Consciousness: the Knowledge Instinct.
IJCNN 2006: 377-383 |
| 12 | | José F. Fontanari,
Leonid I. Perlovsky:
Categorization and symbol grounding in a complex environment.
IJCNN 2006: 4940-4946 |
| 11 | | Leonid I. Perlovsky:
Higher Cognitive Abilities (Toward a Physical Theory of the Mind).
IJCNN 2006: 4947-4953 |
| 2005 |
|---|
| 10 | | Leonid I. Perlovsky:
Evolving Agents: Communication and Cognition.
AIS-ADM 2005: 37-49 |
| 1998 |
|---|
| 9 | | Leonid I. Perlovsky:
Conundrum of Combinatorial Complexity.
IEEE Trans. Pattern Anal. Mach. Intell. 20(6): 666-670 (1998) |
| 1997 |
|---|
| 8 | | Leonid 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) |
| 7 | | Leonid 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) |
| 6 | | Leonid I. Perlovsky:
Cramer-Rao bound for tracking in clutter and tracking multiple objects.
Pattern Recognition Letters 18(3): 283-288 (1997) |
| 1995 |
|---|
| 5 | | Leonid 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) |
| 1994 |
|---|
| 4 | | Leonid I. Perlovsky:
A model-based neural network for transient signal processing.
Neural Networks 7(3): 565-572 (1994) |
| 3 | | Leonid I. Perlovsky,
John Jaskolski:
Maximum likelihood adaptive neural controller.
Neural Networks 7(4): 671-680 (1994) |
| 1991 |
|---|
| 2 | | Leonid I. Perlovsky,
Margaret M. McManus:
Maximum likelihood neural networks for sensor fusion and adaptive classification.
Neural Networks 4(1): 89-102 (1991) |
| 1989 |
|---|
| 1 | | Leonid I. Perlovsky:
Cramer-Rao bounds for the estimation of normal mixtures.
Pattern Recognition Letters 10(3): 141-148 (1989) |
