Cramer-Rao bounds for the estimation of means in a clustering problem. - Leonid I. Perlovsky (Pattern Recognit. Lett., 1988)

Neural networks with maximal adaptive efficiency. - Leonid I. Perlovsky (SMC, 1989)

Cramer-Rao bounds for the estimation of normal mixtures. - Leonid I. Perlovsky (Pattern Recognit. Lett., 1989)

Maximum likelihood neural networks for sensor fusion and adaptive classification. - Leonid I. Perlovsky; Margaret M. McManus (Neural Networks, 1991)

Estimating a covariance matrix from incomplete realizations of a random vector. - Leonid I. Perlovsky; Thomas L. Marzetta (IEEE Trans. Signal Process., 1992)

Computational concepts in classification: Neural networks, statistical pattern recognition, and model-based vision. - Leonid I. Perlovsky (J. Math. Imaging Vis., 1994)

A model-based neural network for transient signal processing. - Leonid I. Perlovsky (Neural Networks, 1994)

Maximum likelihood adaptive neural controller. - Leonid I. Perlovsky; John Jaskolski (Neural Networks, 1994)

Multi-sensor ATR and identification of friend or foe using MLANS. - Leonid I. Perlovsky; Julian A. Chernick; William H. Schoendorf (Neural Networks, 1995)

Einsteinian neural network for spectrum estimation. - Leonid I. Perlovsky; Charles P. Plum; Peter R. Franchi; Elihu J. Tichovolsky; David Choi; Bertus Weijers (Neural Networks, 1997)

Cramer-Rao bound for tracking in clutter and tracking multiple objects. - Leonid I. Perlovsky (Pattern Recognit. Lett., 1997)

Model-based neural network for target detection in SAR images. - Leonid I. Perlovsky; William H. Schoendorf; Bernard J. Burdick; David M. Tye (IEEE Trans. Image Process., 1997)

Conundrum of Combinatorial Complexity. - Leonid I. Perlovsky (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Evolving Agents: Communication and Cognition. - Leonid I. Perlovsky (AIS-ADM, 2005)

Neural network with fuzzy dynamic logic. - Leonid I. Perlovsky (IJCNN, 2005)

Sensor fusion for swarms of small unmanned aerial vehicles. - Ross W. Deming; Leonid I. Perlovsky (SIS, 2005)

Language and Cognition Integration Through Modeling Field Theory: Category Formation for Symbol Grounding. - Vadim Tikhanoff; José Fernando Fontanari; Angelo Cangelosi; Leonid I. Perlovsky (ICANN (1), 2006)

Adaptive Estimation for Spectral-Temporal Characterization of Energetic Transient Events. - Ross W. Deming; Shawn Higbee; Derek Dwyer; Michael Welser; Leonid I. Perlovsky; Paola Pellegrini (IJCNN, 2006)

Meaning creation and communication in a community of agents. - José Fernando Fontanari; Leonid I. Perlovsky (IJCNN, 2006)

Categorization and symbol grounding in a complex environment. - José Fernando Fontanari; Leonid I. Perlovsky (IJCNN, 2006)

Neural Dynamic Logic of Consciousness: the Knowledge Instinct. - Leonid I. Perlovsky (IJCNN, 2006)

Integrated Emotions, Cognition, and Language. - Leonid I. Perlovsky (IJCNN, 2006)

Higher Cognitive Abilities (Toward a Physical Theory of the Mind). - Leonid I. Perlovsky (IJCNN, 2006)

Emotional Cognitive Agents with Adaptive Ontologies. - Leonid I. Perlovsky (AIS-ADM, 2007)

Neural Modeling Fields for Multitarget/Multisensor Tracking. - Ross W. Deming; John Schindler; Leonid I. Perlovsky (IJCNN, 2007)

Language acquisition and category discrimination in the Modeling Field Theory framework. - José Fernando Fontanari; Leonid I. Perlovsky (IJCNN, 2007)

Estimation of Propagating Phase Transients in EEG Data - Application of Dynamic Logic Neural Modeling Approach. - Robert Kozma 001; Ross W. Deming; Leonid I. Perlovsky (IJCNN, 2007)

Resolving Wall Ambiguities Using Angular Diverse Synthetic Arrays. - Robert Linnehan; John Schindler; David Brady; Robert Kozma 001; Ross W. Deming; Leonid I. Perlovsky (IJCNN, 2007)

Neural Modeling Fields, Evolution of Consciousness and Cultures. - Leonid I. Perlovsky (IJCNN, 2007)

Neural Modeling Fields for Natural Language. - Leonid I. Perlovsky (IJCNN, 2007)

Evolution of Languages, Consciousness and Cultures. - Leonid I. Perlovsky (IEEE Comput. Intell. Mag., 2007)

Concurrent multi-target localization, data association, and navigation for a swarm of flying sensors. - Ross W. Deming; Leonid I. Perlovsky (Inf. Fusion, 2007)

Concurrent learning and fusion. - Leonid I. Perlovsky (Inf. Fusion, 2007)

Cognitive high level information fusion. - Leonid I. Perlovsky (Inf. Sci., 2007)

Evolving Compositionality in Evolutionary Language Games. - José Fernando Fontanari; Leonid I. Perlovsky (IEEE Trans. Evol. Comput., 2007)

Neural Networks for Improved Tracking. - Leonid I. Perlovsky; Ross W. Deming (IEEE Trans. Neural Networks, 2007)

Neural Networks, Fuzzy Models and Dynamic Logic. - Leonid I. Perlovsky (Aspects of Automatic Text Analysis, 2007)

Object perception in the neural modeling fields framework. - José Fernando Fontanari; Leonid I. Perlovsky (IJCNN, 2008)

Dynamic logic of phenomena and cognition. - Boris Kovalerchuk; Leonid I. Perlovsky (IJCNN, 2008)

Detection of propagating phase gradients in EEG signals using Model Field Theory of non-Gaussian mixtures. - Robert Kozma 001; Leonid I. Perlovsky; JaiSantosh Ankishetty (IJCNN, 2008)

A network model of rational versus irrational choices on a probability maximization task. - Daniel S. Levine 001; Leonid I. Perlovsky (IJCNN, 2008)

How language can help discrimination in the Neural Modelling Fields framework. - José Fernando Fontanari; Leonid I. Perlovsky (Neural Networks, 2008)

A game theoretical approach to the evolution of structured communication codes. - José Fernando Fontanari; Leonid I. Perlovsky (Theory Biosci., 2008)

Language, Cognition and Cultural Evolution. - Leonid I. Perlovsky (IJCCI, 2009)

A cross-situational algorithm for learning a lexicon using Neural modeling fields. - José Fernando Fontanari; Vadim Tikhanoff; Angelo Cangelosi; Leonid I. Perlovsky (IJCNN, 2009)

Fusion and mining spatial data in cyber-physical space with Dynamic Logic of Phenomena. - Boris Kovalerchuk; Leonid I. Perlovsky (IJCNN, 2009)

Emotions, language, and Sapir-Whorf hypothesis. - Leonid I. Perlovsky (IJCNN, 2009)

Cross-situational learning of object-word mapping using Neural Modeling Fields. - José Fernando Fontanari; Vadim Tikhanoff; Angelo Cangelosi; Roman Ilin; Leonid I. Perlovsky (Neural Networks, 2009)

Advances in neural networks research: An introduction. - Robert Kozma 001; Steven L. Bressler; Leonid I. Perlovsky; Ganesh K. Venayagamoorthy (Neural Networks, 2009)

Introduction to the special issue on goal-directed neural systems. - Robert Kozma 001; Daniel S. Levine 001; Leonid I. Perlovsky (Neural Networks, 2009)

Language and cognition. - Leonid I. Perlovsky (Neural Networks, 2009)

Language and emotions: Emotional Sapir-Whorf hypothesis. - Leonid I. Perlovsky (Neural Networks, 2009)

"Vague-to-Crisp" Neural Mechanism of Perception. - Leonid I. Perlovsky (IEEE Trans. Neural Networks, 2009)

Cognitive Evolution of Cultures. - Leonid I. Perlovsky (ICAART (1), 2010)

A computational model of adults' performance in naming objects using cross-situational learning. - José Fernando Fontanari; Leonid I. Perlovsky (IJCNN, 2010)

Curiosity and pleasure. - Leonid I. Perlovsky; Marie-Claude Bonniot-Cabanac; Michel Cabanac (IJCNN, 2010)

Grounded symbols in the brain. - Leonid I. Perlovsky; Roman Ilin (IJCNN, 2010)

The knowledge instinct of autonomous adaptation. - Leonid I. Perlovsky; Roman Ilin (IJCNN, 2010)

Drive for Creativity. - Leonid I. Perlovsky; Daniel S. Levine 001 (IJCNN, 2010)

Probabilistic Dynamic Logic of Phenomena and Cognition. - Evgenii Vityaev 001; Boris Kovalerchuk; Leonid I. Perlovsky; Stanislav Smerdov (IJCNN, 2010)

Cognitively Inspired Neural Network for Recognition of Situations. - Roman Ilin; Leonid I. Perlovsky (Int. J. Nat. Comput. Res., 2010)

Emotion in the Pursuit of Understanding. - Daniel S. Levine 001; Leonid I. Perlovsky (Int. J. Synth. Emot., 2010)

Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI. - Leonid I. Perlovsky (IEEE Trans. Neural Networks, 2010)

Integration of geometric and topological uncertainties for geospatial Data Fusion and Mining. - Boris Kovalerchuk; Leonid I. Perlovsky (AIPR, 2011)

Neurally and Mathematically Motivated Architecture for Language and Cognition. - Leonid I. Perlovsky; Roman Ilin (BICA, 2011)

Uncertainty modeling for spatial data fusion and mining. - Boris Kovalerchuk; Leonid I. Perlovsky (CCMB, 2011)

Mirror neurons, language, and embodied cognition. - Leonid I. Perlovsky (CCMB, 2011)

Dynamic Logic learning in cognitive-based situation models. - Roman Ilin; Leonid I. Perlovsky (CogSIMA, 2011)

Emotions of cognitive dissonance. - José Fernando Fontanari; Leonid I. Perlovsky; Marie-Claude Bonniot-Cabanac; Michel Cabanac (IJCNN, 2011)

Creativity and thinking according to cognition-language-music model. - Leonid I. Perlovsky (IJCNN, 2011)

Embodied cognition, language, and mirror neuron system. - Leonid I. Perlovsky (IJCNN, 2011)

Computational Intelligence Applications for Defense [Research Frontier]. - Leonid I. Perlovsky (IEEE Comput. Intell. Mag., 2011)

Language and Cognition Interaction Neural Mechanisms. - Leonid I. Perlovsky (Comput. Intell. Neurosci., 2011)

Language, Emotions, and Cultures: Emotional Sapir-Whorf Hypothesis - Leonid I. Perlovsky (CoRR, 2011)

The Drive for Creativity and the Escape from Creativity: Neurocognitive Mechanisms. - Leonid I. Perlovsky; Daniel S. Levine 001 (Cogn. Comput., 2012)

Categories of Emotion names in Web retrieved texts - Sergey Petrov; José Fernando Fontanari; Leonid I. Perlovsky (CoRR, 2012)

Modelling phenomena and dynamic logic of phenomena. - Boris Kovalerchuk; Leonid I. Perlovsky; Gregory R. Wheeler (J. Appl. Non Class. Logics, 2012)

A structural model of emotions of cognitive dissonances. - José Fernando Fontanari; Marie-Claude Bonniot-Cabanac; Michel Cabanac; Leonid I. Perlovsky (Neural Networks, 2012)

Predictions and Incongruency in Object Recognition: A Cognitive Neuroscience Perspective. - Helena Yardley; Leonid I. Perlovsky; Moshe Bar (Detection and Identification of Rare Audiovisual Cues, 2012)

Is cognitive dissonance compatible with human evolution? - Leonid I. Perlovsky; N. Masataka; Michel Cabanac (IJCNN, 2013)

Learning in brain and machine - complexity, Gödel, Aristotle. - Leonid I. Perlovsky (Frontiers Neurorobotics, 2013)

Machine Learning and Cognitive Algorithms for Engineering Applications. - Leonid I. Perlovsky; Gary Kuvich (Int. J. Cogn. Informatics Nat. Intell., 2013)

Cognitive functions of aesthetic emotions. - Leonid I. Perlovsky (IJCNN, 2014)

Cognitive neural network for cybersecurity. - Leonid I. Perlovsky; Olexander Shevchenko (IJCNN, 2014)

How much information should we drop to become intelligent? - Ophir Nave; Yair Neuman; Leonid I. Perlovsky; Newton Howard (Appl. Math. Comput., 2014)

Dynamic Logic Machine Learning for Cybersecurity. - Leonid I. Perlovsky; Olexander Shevchenko (Cybersecurity Systems for Human Cognition Augmentation, 2014)

Rigorous sensor resource management: Methodology and evolutionary optimization. - Boris Kovalerchuk; Leonid I. Perlovsky (CISDA, 2015)

Mystery in experimental psychology, aesthetic emotions. - Leonid I. Perlovsky (IJCNN, 2015)

Gödel vs. aristotle: Algorithmic complexity, models of the Mind, and top representations. - Leonid I. Perlovsky (IJCNN, 2016)

Sensor Resource Management: Intelligent Multi-objective Modularized Optimization Methodology and Models. - Boris Kovalerchuk; Leonid I. Perlovsky (Recent Advances in Computational Intelligence in Defense and Security, 2016)

"Hard science" of psychology, physics of the mind. - Leonid I. Perlovsky (IJCNN, 2017)

Higher emotions and cognition. - Leonid I. Perlovsky (Cogn. Syst. Res., 2020)