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ORCIDLeonid I. Perlovsky
Person information
- affiliation: Harvard University, Charlestown, MA, USA
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2020 – today
- 2020
[j38]Leonid I. Perlovsky:
Higher emotions and cognition. Cogn. Syst. Res. 61: 45-52 (2020)
2010 – 2019
- 2017
- [c47]Leonid I. Perlovsky:
"Hard science" of psychology, physics of the mind. IJCNN 2017: 222-227 - 2016
- [c46]Leonid I. Perlovsky:
Gödel vs. aristotle: Algorithmic complexity, models of the Mind, and top representations. IJCNN 2016: 1787-1794 - [p4]Boris Kovalerchuk
, Leonid I. Perlovsky:
Sensor Resource Management: Intelligent Multi-objective Modularized Optimization Methodology and Models. Recent Advances in Computational Intelligence in Defense and Security 2016: 695-726 - 2015
- [c45]Boris Kovalerchuk, Leonid I. Perlovsky:
Rigorous sensor resource management: Methodology and evolutionary optimization. CISDA 2015: 1-8 - [c44]Leonid I. Perlovsky:
Mystery in experimental psychology, aesthetic emotions. IJCNN 2015: 1-5 - 2014
- [j37]Ophir Nave, Yair Neuman, Leonid I. Perlovsky, Newton Howard:
How much information should we drop to become intelligent? Appl. Math. Comput. 245: 261-264 (2014) - [c43]Leonid I. Perlovsky:
Cognitive functions of aesthetic emotions. IJCNN 2014: 671-675 - [c42]Leonid I. Perlovsky, Olexander Shevchenko:
Cognitive neural network for cybersecurity. IJCNN 2014: 4056-4061 - [p3]Leonid I. Perlovsky, Olexander Shevchenko:
Dynamic Logic Machine Learning for Cybersecurity. Cybersecurity Systems for Human Cognition Augmentation 2014: 85-98 - 2013
- [j36]Leonid I. Perlovsky:
Learning in brain and machine - complexity, Gödel, Aristotle. Frontiers Neurorobotics 7: 23 (2013) - [j35]Leonid I. Perlovsky, Gary Kuvich:
Machine Learning and Cognitive Algorithms for Engineering Applications. Int. J. Cogn. Informatics Nat. Intell. 7(4): 64-82 (2013) - [c41]Leonid I. Perlovsky, N. Masataka, Michel Cabanac:
Is cognitive dissonance compatible with human evolution? IJCNN 2013: 1-3 - 2012
- [j34]Leonid I. Perlovsky, Daniel S. Levine:
The Drive for Creativity and the Escape from Creativity: Neurocognitive Mechanisms. Cogn. Comput. 4(3): 292-305 (2012) - [j33]Boris Kovalerchuk, Leonid I. Perlovsky, Gregory R. Wheeler:
Modelling phenomena and dynamic logic of phenomena. J. Appl. Non Class. Logics 22(1-2): 53-82 (2012) - [j32]José Fernando Fontanari, Marie-Claude Bonniot-Cabanac, Michel Cabanac, Leonid I. Perlovsky:
A structural model of emotions of cognitive dissonances. Neural Networks 32: 57-64 (2012) - [p2]Helena Yardley, Leonid I. Perlovsky, Moshe Bar:
Predictions and Incongruency in Object Recognition: A Cognitive Neuroscience Perspective. Detection and Identification of Rare Audiovisual Cues 2012: 139-153 - [i4]José Fernando Fontanari, Marie-Claude Bonniot-Cabanac, Michel Cabanac, Leonid I. Perlovsky:
A structural model of emotions of cognitive dissonances. CoRR abs/1202.6388 (2012) - [i3]Sergey Petrov, José Fernando Fontanari, Leonid I. Perlovsky:
Categories of Emotion names in Web retrieved texts. CoRR abs/1203.2293 (2012) - 2011
- [j31]Leonid I. Perlovsky:
Computational Intelligence Applications for Defense [Research Frontier]. IEEE Comput. Intell. Mag. 6(1): 20-29 (2011) - [j30]Leonid I. Perlovsky:
Language and Cognition Interaction Neural Mechanisms. Comput. Intell. Neurosci. 2011: 454587:1-454587:13 (2011) - [c40]Boris Kovalerchuk, Leonid I. Perlovsky:
Integration of geometric and topological uncertainties for geospatial Data Fusion and Mining. AIPR 2011: 1-8 - [c39]Leonid I. Perlovsky, Roman Ilin:
Neurally and Mathematically Motivated Architecture for Language and Cognition. BICA 2011: 288 - [c38]Boris Kovalerchuk, Leonid I. Perlovsky:
Uncertainty modeling for spatial data fusion and mining. CCMB 2011: 35-42 - [c37]Leonid I. Perlovsky:
Mirror neurons, language, and embodied cognition. CCMB 2011: 47-53 - [c36]Roman Ilin, Leonid I. Perlovsky:
Dynamic Logic learning in cognitive-based situation models. CogSIMA 2011: 32-39 - [c35]José Fernando Fontanari, Leonid I. Perlovsky, Marie-Claude Bonniot-Cabanac, Michel Cabanac:
Emotions of cognitive dissonance. IJCNN 2011: 95-102 - [c34]Leonid I. Perlovsky:
Creativity and thinking according to cognition-language-music model. IJCNN 2011: 430-436 - [c33]Leonid I. Perlovsky:
Embodied cognition, language, and mirror neuron system. IJCNN 2011: 573-579 - [i2]Evgenii Vityaev, Boris Kovalerchuk, Leonid I. Perlovsky, Stanislav Smerdov:
Probabilistic Dynamic Logic of Phenomena and Cognition. CoRR abs/1101.0082 (2011) - [i1]Leonid I. Perlovsky:
Language, Emotions, and Cultures: Emotional Sapir-Whorf Hypothesis. CoRR abs/1103.2376 (2011) - 2010
- [j29]Roman Ilin, Leonid I. Perlovsky:
Cognitively Inspired Neural Network for Recognition of Situations. Int. J. Nat. Comput. Res. 1(1): 36-55 (2010) - [j28]Daniel S. Levine, Leonid I. Perlovsky:
Emotion in the Pursuit of Understanding. Int. J. Synth. Emot. 1(2): 1-11 (2010) - [j27]Leonid I. Perlovsky:
Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI. IEEE Trans. Neural Networks 21(5): 718-733 (2010) - [c32]Leonid I. Perlovsky:
Cognitive Evolution of Cultures. ICAART (1) 2010: 19 - [c31]José Fernando Fontanari, Leonid I. Perlovsky:
A computational model of adults' performance in naming objects using cross-situational learning. IJCNN 2010: 1-8 - [c30]Leonid I. Perlovsky, Marie-Claude Bonniot-Cabanac, Michel Cabanac:
Curiosity and pleasure. IJCNN 2010: 1-3 - [c29]Leonid I. Perlovsky, Roman Ilin:
Grounded symbols in the brain. IJCNN 2010: 1-10 - [c28]Leonid I. Perlovsky, Roman Ilin:
The knowledge instinct of autonomous adaptation. IJCNN 2010: 1-8 - [c27]Leonid I. Perlovsky, Daniel S. Levine:
Drive for Creativity. IJCNN 2010: 1-6 - [c26]Evgenii Vityaev, Boris Kovalerchuk, Leonid I. Perlovsky, Stanislav Smerdov:
Probabilistic Dynamic Logic of Phenomena and Cognition. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [j26]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) - [j25]Leonid I. Perlovsky:
Language and cognition. Neural Networks 22(3): 247-257 (2009) - [j24]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) - [j23]Leonid I. Perlovsky:
Language and emotions: Emotional Sapir-Whorf hypothesis. Neural Networks 22(5-6): 518-526 (2009) - [j22]José Fernando 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) - [j21]Leonid I. Perlovsky:
"Vague-to-Crisp" Neural Mechanism of Perception. IEEE Trans. Neural Networks 20(8): 1363-1367 (2009) - [c25]Leonid I. Perlovsky:
Language, Cognition and Cultural Evolution. IJCCI 2009: 13-23 - [c24]José Fernando Fontanari, Vadim Tikhanoff, Angelo Cangelosi, Leonid I. Perlovsky:
A cross-situational algorithm for learning a lexicon using Neural modeling fields. IJCNN 2009: 869-876 - [c23]Boris Kovalerchuk, Leonid I. Perlovsky:
Fusion and mining spatial data in cyber-physical space with Dynamic Logic of Phenomena. IJCNN 2009: 1660-1667 - [c22]Leonid I. Perlovsky:
Emotions, language, and Sapir-Whorf hypothesis. IJCNN 2009: 2501-2508 - 2008
- [j20]José Fernando Fontanari, Leonid I. Perlovsky:
How language can help discrimination in the Neural Modelling Fields framework. Neural Networks 21(2-3): 250-256 (2008) - [j19]José Fernando Fontanari, Leonid I. Perlovsky:
A game theoretical approach to the evolution of structured communication codes. Theory Biosci. 127(3): 205-214 (2008) - [c21]José Fernando Fontanari, Leonid I. Perlovsky:
Object perception in the neural modeling fields framework. IJCNN 2008: 1774-1779 - [c20]Daniel S. Levine, Leonid I. Perlovsky:
A network model of rational versus irrational choices on a probability maximization task. IJCNN 2008: 2820-2824 - [c19]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 - [c18]Boris Kovalerchuk, Leonid I. Perlovsky:
Dynamic logic of phenomena and cognition. IJCNN 2008: 3530-3537 - 2007
- [j18]Leonid I. Perlovsky:
Evolution of Languages, Consciousness and Cultures. IEEE Comput. Intell. Mag. 2(3): 25-39 (2007) - [j17]Leonid I. Perlovsky:
Concurrent learning and fusion. Inf. Fusion 8(3): 224-226 (2007) - [j16]Ross W. Deming, Leonid I. Perlovsky:
Concurrent multi-target localization, data association, and navigation for a swarm of flying sensors. Inf. Fusion 8(3): 316-330 (2007) - [j15]Leonid I. Perlovsky:
Cognitive high level information fusion. Inf. Sci. 177(10): 2099-2118 (2007) - [j14]José Fernando Fontanari, Leonid I. Perlovsky:
Evolving Compositionality in Evolutionary Language Games. IEEE Trans. Evol. Comput. 11(6): 758-769 (2007) - [j13]Leonid I. Perlovsky, Ross W. Deming:
Neural Networks for Improved Tracking. IEEE Trans. Neural Networks 18(6): 1854-1857 (2007) - [c17]Leonid I. Perlovsky:
Emotional Cognitive Agents with Adaptive Ontologies. AIS-ADM 2007: 293-304 - [c16]Ross W. Deming, John Schindler, Leonid I. Perlovsky:
Neural Modeling Fields for Multitarget/Multisensor Tracking. IJCNN 2007: 442-447 - [c15]Leonid I. Perlovsky:
Neural Modeling Fields, Evolution of Consciousness and Cultures. IJCNN 2007: 460-465 - [c14]Leonid I. Perlovsky:
Neural Modeling Fields for Natural Language. IJCNN 2007: 466-470 - [c13]José Fernando Fontanari, Leonid I. Perlovsky:
Language acquisition and category discrimination in the Modeling Field Theory framework. IJCNN 2007: 1180-1185 - [c12]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 - [c11]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 - [p1]Leonid I. Perlovsky:
Neural Networks, Fuzzy Models and Dynamic Logic. Aspects of Automatic Text Analysis 2007: 363-386 - 2006
- [c10]Vadim Tikhanoff, José Fernando Fontanari, Angelo Cangelosi, Leonid I. Perlovsky:
Language and Cognition Integration Through Modeling Field Theory: Category Formation for Symbol Grounding. ICANN (1) 2006: 376-385 - [c9]Leonid I. Perlovsky:
Neural Dynamic Logic of Consciousness: the Knowledge Instinct. IJCNN 2006: 377-383 - [c8]Leonid I. Perlovsky:
Integrated Emotions, Cognition, and Language. IJCNN 2006: 1570-1575 - [c7]José Fernando Fontanari, Leonid I. Perlovsky:
Meaning creation and communication in a community of agents. IJCNN 2006: 1583-1588 - [c6]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 - [c5]José Fernando Fontanari, Leonid I. Perlovsky:
Categorization and symbol grounding in a complex environment. IJCNN 2006: 4940-4946 - [c4]Leonid I. Perlovsky:
Higher Cognitive Abilities (Toward a Physical Theory of the Mind). IJCNN 2006: 4947-4953 - 2005
- [c3]Leonid I. Perlovsky:
Evolving Agents: Communication and Cognition. AIS-ADM 2005: 37-49 - [c2]Ross W. Deming, Leonid I. Perlovsky:
Sensor fusion for swarms of small unmanned aerial vehicles. SIS 2005: 302-308
1990 – 1999
- 1998
- [j12]Leonid I. Perlovsky:
Conundrum of Combinatorial Complexity. IEEE Trans. Pattern Anal. Mach. Intell. 20(6): 666-670 (1998) - 1997
- [j11]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) - [j10]Leonid I. Perlovsky:
Cramer-Rao bound for tracking in clutter and tracking multiple objects. Pattern Recognit. Lett. 18(3): 283-288 (1997) - [j9]Leonid I. Perlovsky, William H. Schoendorf, Bernard J. Burdick, David M. Tye:
Model-based neural network for target detection in SAR images. IEEE Trans. Image Process. 6(1): 203-216 (1997) - 1995
- [j8]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
- [j7]Leonid I. Perlovsky:
Computational concepts in classification: Neural networks, statistical pattern recognition, and model-based vision. J. Math. Imaging Vis. 4(1): 81-110 (1994) - [j6]Leonid I. Perlovsky:
A model-based neural network for transient signal processing. Neural Networks 7(3): 565-572 (1994) - [j5]Leonid I. Perlovsky, John Jaskolski:
Maximum likelihood adaptive neural controller. Neural Networks 7(4): 671-680 (1994) - 1992
- [j4]Leonid I. Perlovsky, Thomas L. Marzetta:
Estimating a covariance matrix from incomplete realizations of a random vector. IEEE Trans. Signal Process. 40(8): 2097-2100 (1992) - 1991
- [j3]Leonid I. Perlovsky, Margaret M. McManus:
Maximum likelihood neural networks for sensor fusion and adaptive classification. Neural Networks 4(1): 89-102 (1991)
1980 – 1989
- 1989
- [j2]Leonid I. Perlovsky:
Cramer-Rao bounds for the estimation of normal mixtures. Pattern Recognit. Lett. 10(3): 141-148 (1989) - [c1]Leonid I. Perlovsky:
Neural networks with maximal adaptive efficiency. SMC 1989: 208-209 - 1988
- [j1]Leonid I. Perlovsky:
Cramer-Rao bounds for the estimation of means in a clustering problem. Pattern Recognit. Lett. 8(1): 1-3 (1988)
Coauthor Index
aka: José Fernando Fontanari
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