Affiliation: Athinoula A. Martinos Center for Biomedical Imaging, Harvard University
Location: Charlestown, MA, USA
Dr. Leonid Perlovsky is Visiting Scholar at Harvard University Athinoula Martinos Brain Imaging Center, Principal Research Physicist and Technical Advisor at the Air Force Research Laboratory, WPAFB. He leads research projects on mathematical models of the mind, cognition and language, emotions and language, cognitive functions of the beautiful, sublime, and music, cognitive algorithms, dynamic logic, evolution of languages and cultures, neural networks. As Chief Scientist at Nichols Research, a $500mm high-tech organization, he led the corporate research in intelligent systems. He served as professor at Novosibirsk University and New York University; as a principal in commercial startups developing tools for biotechnology, text understanding, and financial predictions. His company predicted the market crash following 9/11 a week before the event. He is invited as a keynote plenary speaker and tutorial lecturer worldwide, published more than 430 papers, 12 book chapters, and 4 books, including
Perlovsky, L.I. (2001). Neural Networks and Intellect: using model-based concepts. Oxford University Press, New York, NY (3rd printing).
Perlovsky, L.I., Kozma, R., Eds. (2007). Neurodynamics of Higher-Level Cognition and Consciousness. ISBN 978-3-540-73266-2, Springer-Verlag, Heidelberg, Germany.
Mayorga, R., Perlovsky, L.I., Eds. (2008). Sapient Systems. Springer, London, UK.
Perlovsky, L.I., Deming R.W., & Ilin, R. (2011). Emotional Cognitive Neural Algorithms with Engineering Applications. Dynamic Logic: from vague to crisp. Springer, Heidelberg, Germany.
Perlovsky, L.I. (1998). Cramer-Rao Bound for Tracking in Clutter. Chapter in Probabilistic Multi-Hypothesis Tracking, Ed. R.L. Streit, NUWC Press, Newport, RI, pp.77-84
Perlovsky, L.I., Webb, V.H., Bradley, S.A., Hansen, C.A (1998). Improved ROTHR Detection and Tracking using MLANS. Chapter in Probabilistic Multi-Hypothesis Tracking, Ed. R.L. Streit, NUWC Press, Newport, RI, pp.245-254.
Perlovsky, L.I. (2005). Evolving Agents: Communication and Cognition. Chapter in Autonomous Intelligent Systems: Agents and Data Mining. Eds: V. Gorodetsky, J. Liu, V.A. Skormin. Springer-Verlag GmbH, pp.37-49
Perlovsky, L.I. (2007). Modeling Field Theory of Higher Cognitive Functions. Chapter in Artificial Cognition Systems, Eds. A. Loula, R. Gudwin, J. Queiroz. Idea Group, Hershey, PA, pp.64-105.
Perlovsky, L.I. (2007). Symbols: Integrated Cognition and Language. Chapter in Semiotics and Intelligent Systems Development. Eds. R. Gudwin, J. Queiroz. Idea Group, Hershey, PA, pp.121-151.
Perlovsky, L.I. (2007). Neural Networks, Fuzzy Models and Dynamic Logic. Chapter in Aspects of Automatic Text Analysis (Festschrift in Honor of Burghard Rieger), Eds. R. K
- Perlovsky L, Cabanac A, Bonniot Cabanac M, Cabanac M. Mozart effect, cognitive dissonance, and the pleasure of music. Behav Brain Res. 2013;244:9-14 pubmed publisher..It follows that music likely performs a fundamental cognitive function explaining the origin and evolution of musical ability that have been considered a mystery. ..