Publications


H.T. Siegelmann
Neural Networks and Analog Computation:
Beyond the Turing Limit, Birkhauser
Boston, December 1998


More information here
Hava's Book Cover Picture

Prof. Siegelmann's Theses


Ph.D. Thesis: "Foundation of Recurrent Neural Networks," Rutgers University, 1993

Master Thesis: "Document Allocation in Multiprocessor Information Retrieval Systems: An Application of Genetic Algorithms," The Hebrew University, 1992

Journal Papers, Book Chapters, and Conference Papers
Type Author Title Publication Information Date Pages/Volume/Issue Links
Cpt Rietman, E. A., Tuszynski, J. A. Thermodynamics and Cancer Dormancy: A Perspective Tumor Dormancy and Recurrence 2017 doi: 10.1007/978-3-319-59242-8_5 url
Jrn S. H. McGuire, E. A. Rietman, H. Siegelmann, J. A. Tuszynski Gibbs free energy as a measure of complexity correlates with time within C. elegans embryonic development Journal of Biological Physics 2017 doi: 10.1007/s10867-017-9469-0 url
Jrn E. A. Rietman, J. Platig, J. Tuszynski, G. Lakka Klement Thermodynamic measures of cancer: Gibbs free energy and entropy of protein–protein interactions Journal of Biological Physics 2017 doi: 10.1007/s10867-016-9410-y url
Jrn E. A. Rietman, J. G. Scott, J. A. Tuszynski, G. L. Klement Personalized anticancer therapy selection using molecular landscape topology and thermodynamics Oncotarget 2017 8(12):18735-18745 pdf
Jrn R. Kozma, R. Noack Freeman’s Intentional Neurodynamics - 2017 - pdf
Cnf R. Kozma. A Cognitively Motivated Algorithm for Rapid Response in Emergency Situations, IEEE Conference on Cognitively Motivated Situation Management and Decision Support Conference 2017 - -
Cnf R. Noack, C. Manjesh, M. Ruszinko, H. Siegelmann, R. Kozma. Resting State Neural Networks and Energy Metabolism IEEE/INNS International Joint Conference on Neural Networks 2017 - -
Jrn D.H. Heck, S.S. McAfee, Y. Liu, A. Babajani-Feremi, R. Rezaie, W.J. Freeman, J.W. Wheless, A.C. Papanicolaou, M. Ruszinko, Y. Sokolov, R. Kozma Breathing as a Fundamental Rhythm of Brain Function. Frontiers in Neural Circuits 2017 10:115; doi: 10.3389/fncir.2016.00115 url
Cnf R. Ilin, T. Watson and R. Kozma Abstraction Hierarchy in Deep Learning Neural Networks IEEE/INNS International Joint Conference on Neural Networks 2017 - -
Jrn R. Kozma, W.J. Freeman Cinematic Operation of the Cerebral Cortex Interpreted via Critical Transitions in Self-Organized Dynamic Systems. Frontiers in Systems Neuroscience 2017 11(10):1-10; doi: 10.3389/fnsys.2017.00010 url
Jrn J. Burroni, P. Taylor, C. Corey, T. Vachnadze, and H.T. Siegelmann Energetic Constraints Produce Self-sustained Oscillatory Dynamics in Neuronal Networks Frontiers in Neuroscience 2017 11:80; doi: 10.3389/fnins.2017.00080 url
Jrn P. Taylor, J.N. Hobbs, J. Burroni, and H.T. Siegelmann The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions Nature Scientific Reports 2015 5(18112); DOI: 10.1038/srep18112 url
Jrn P. Taylor, N. Bilgrien, Z. He, and H.T. Siegelmann EyeFrame: Real-time memory aid improves human multitasking via domain general eye tracking procedures Frontiers in ICT, Human-Media Interaction 2015 2(17) url
Jrn P. Taylor, Z. He, N. Bilgrien, and H.T. Siegelmann Human strategies for multitasking, search, and control improved via real-time memory aid for gaze location Frontiers in ICT, Human-Media Interaction 2015 2(15) url
Jrn For Journal papers before 2015 click here
H.T. Siegelmann and R. Freund Bulletin of European Association for Theoretical Computer Science EATCS 2014 number 114, pp. 265-269 pdf
Cnf A. Tal and H.T. Siegelmann Conscience mechanism in neocortical competitive learning ICCN 2013
Cpt A.S. Younger, E. Redd, H.T Siegelmann Development of Physical Super-Turing Analog Hardware Unconventional Computation and Natural Computation, Lecture Notes in Computer Science, O.H. Ibarra et al. (Eds.) 2014 379-391 text
Cpt E. Kagan, A. Rybalov, A. Sela, H. Siegelmann, and J. Steshenko Probabilistic control and swarm dynamics in mobile robots and ants Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, S. A. Burki, G. Dobbie and Y. S. Koh (eds.) 2014 11-47 text
Cpt H.T. Siegelmann Super Turing As a Cognitive Reality (Chapter 21) Consciousness: Its Nature and Functions, Shulamith Kreitler and Oded Maimon (eds) 2012 - -
Cpt For Book chapters before 2012 click here
Cnf M. Olsen, N. Siegelmann-Danieli, H. Siegelmann Computational Modeling Reveals the Crucial Role of Cellular Citizenship in Selective Tumor Apoptosis CSB2 Systems Biology of Human Diseases 2009 - -
Cnf Y.Z. Levy, D. Levy, J.S. Meyer, H.T. Siegelmann Drug Addiction: a computational multiscale model combining neuropsychology, cognition, and behavior International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2009) 2009 - -
Cnf Y.Z. Levy, D. Levy, J.S. Meyer, H.T. Siegelmann Drug Addiction as a Non-monotonic Process: a Multiscale Computational Model 13th International Conference on Biomedical Engineering (ICBME 2008) 2008 - -
Cnf David G Cooper, Dov Katz, Hava T. Siegelmann Emotional Robotics: Tug of War AAAI Spring Symposium on Emotion, Personality and Social Behavior 2008 - pdf
Cnf Megan M. Olsen, Kyle T. Harrington, Hava T. Siegelmann Emotions for Strategic Real-Time Systems AAAI Spring Symposium on Emotion, Personality and Social Behavior 2008 - pdf
Cnf David G Cooper, Dov Katz, Hava T. Siegelmann Emotional Robotics: Tug of War New England Student Conference on Artificial Intelligence(NESCAI) 2008 - pdf
Cnf Megan M. Olsen, Kyle Harrington, Hava T. Siegelmann Utilizing Emotions in Strategic Real-Time Artificial Intelligence New England Student Conference on Artificial Intelligence(NESCAI) 2008 - pdf
Cnf Megan M. Olsen, Hava T. Siegelmann A Multi-agent System that Attains Longevity Via Death New England Student Conference on Artificial Intelligence(NESCAI) 2007 - pdf
Cnf M. Olsen and H. Siegelmann Multi-Agent System that Attains Longevity via Death Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI) 2007 - pdf
Cnf L. Holzman and H. Siegelmann Input-Driven Dynamic Attractors Computational and Systems Neuroscience, Salt Lake City 2007 - pdf
Cnf L. Holzman and H. Siegelmann Exact Neural Inference over Graphical Models Computational and Systems Neuroscience Salt Lake City 2007 - pdf
Cnf M. Olsen and H. Siegelmann Artificial Death for Attaining System Longevity Proceedings of the 50th Anniversary Summit of Artificial Intelligence Summit, Switzerland 2006 217-218 pdf
Cnf Kyle Harrington and Hava Siegelmann Adaptive Multi-Modal Sensors Proceedings of the 50th Anniversary Summit of Artificial Intelligence Summit, Switzerland 2006 - pdf
Cnf Will Bush and Hava Siegelmann Genetic Clock Oscillator Neural Networks Computational Neural systems, Salt Lake City 2005 - abstract
Cnf AnYuan Guo and Hava Siegelmann Time-Warped Longest Common Subsequence Algorithm for Music Retrieval International Conference on Music Information Retrieval (ISMIR'04) 2004 - pdf
Cnf Eric Bittman, Yossi Chait, C.V. Hollot, M. Harrington and H. Siegelmann Is the Mammalian Circadian Clock a Resonant-Circuit Oscillator? Society for Research on Biological Rhythms, Whistler, BC 2004 - -
Cnf Yanhong Tong and Hava Sieglemann Simulation mammalian molecular circadian oscillators by dynamic gene network Eighth Annual International Conference on Research in Computational Molecular Biology 2004 - -
Cnf Shaolei Lu, AnYuan Guo, Klaus Becker, Hava Siegelmann, Paola Sebastiani, Kyle MacBeth, Joseph Jerry Microarray Analysis of Global Gene Expression in the Mammary Gland Following Estrogen and Progesterone Treatment of Ovariectomized Mice, Second Annual AACR International Conference on Frontiers in Cancer Prevention Research, Phoenix, Arizona 2003 - -
Cnf T. Jaakkola and H. Siegelmann Active information retrieval Advances in Neural Information Processing Systems 14 2001 - pdf
Cnf Pedro Rodrigues, Jose Felix Costa, Hava T. Siegelmann Verifying Properties of Neural Networks IWANN (1) 2001 158-165 pdf
Cnf A. Ben-Hur and H.T. Siegelmann Computation in Gene Networks MCU 2001, LNCS 2055, eds. M. Margenstern and Y. Rogozhin 2001 11-24 pdf
Cnf D. Horn, I. Opher, M. Epstein and H. T. Siegelmann Clustering of Documents using Latent Semantic Analysis Proceedings of the DAS2000, Rio 2000 - -
Cnf A. Ben-Hur, D. Horn, H.T. Siegelmann and V. Vapnik A Support Vector Method for Hierarchical Clustering Fourteenth Annual Conference on Neural Information Processing Systems, Denver, Colorado 2000 - pdf
Cnf A. Ben-Hur, D. Horn, H.T. Siegelmann and V. Vapnik A Support Vector Method for Clustering Proceedings of the 15th International Conference on Pattern Recognition (ICPR) 2000 728-731 pdf
Cnf H.T. Siegelmann, A. Roitershtein, and A. Ben-Hur Noisy Neural Networks and Generalizations Proceedings of Thirteenth Annual Conference on Neural Information Processing Systems, Denver, Colorado 1999 - pdf
Cnf H.T. Siegelmann, A. Ben-Hur, and S. Fishman Computational Complexity for Continuous Time Dynamics Proceedings of Third International Conference on Computing Anticipatory Systems (CASYS'99), Liege, Belgium 1999 - -
Cnf Hod Lipson, Hava T. Siegelmann High Order Eigentensors as Symbolic Rules in Competitive Learning Hybrid Neural Systems 2000 286-297 pdf
Cnf H.T. Siegelmann and S. Fishman Attractor Systems and Analog Computation Proceedings of the Second International Conference on Knowledge-Based Intelligent Electronic Systems (KES'98), Adelaide, Australia 1998 - pdf
Cnf H. Lipson, Y. Hod, and H.T. Siegelmann High-Order Clustering Metrics for Competitive Learning Neural Networks Proceedings of the Israel-Korea Bi-National Conference on New Themes in Computer Aided Geometric Modeling, Tel-Aviv, Israel 1998 - -
Cnf D. Lange, G.F. Inbar, H. Pratt, and H.T. Siegelmann Unsupervised Identification of Event-Related Brain Potentials via Competitive Learning IEEE Engineering in Medicine and Biology Society, Vol 20, No 3 1998 1329-1332 pdf
Cnf J.P. Neto, H.T. Siegelmann, and J.F. Costa Turing Universality of Neural Nets Revisited Proceedings of the Sixth International Conference on Computer Aided Systems Technology (EUROCAST'97). Lecture Notes in Computer Science (LNCS) 1333, eds. Franz Pichler and Roberto Moreno-Diaz 1997 361-366 pdf
Cnf D.H. Lange, H.T. Siegelmann, H. Pratt, and G.F. Inbar A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure Proceedings of the International Conference on Neural Information Proceeding (NIPS), Denver, Colorado 1997 - pdf
Cnf Y. Finkelstein and H.T. Siegelmann A Stochastic Model to Study Degenerative Disorders in the Central Nervous System The Israel Neurological Association Annual Meeting, Zichron-Yaakov 1997 - -
Cnf H.T. Siegelmann and S. Fishman Computation by Dynamical Systems Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics 1997 - pdf
Cnf H.T. Siegelmann, A. Ofri, and H. Guterman Applying Modular Networks and Fuzzy Logic controllers to nonlinear Flexible Structures Proceedings of the IEEE International Conference on Fuzzy Logic 1997 - pdf
Cnf J.P. Neto, H.T. Siegelmann, and J.F. Costa Implementation of Programming Languages with Neural Nets Proceedings of the First International Conference on Computing Anticipatory Systems (CASYS'97), HEC, Liege, Belgium 1997 - -
Cnf G. Arieli and H.T. Siegelmann ANN Approach vs. the Symbolic Approach in AI Proceedings of the Thirteenth Israeli Conference on Artificial Intelligence and Computer Vision (IAICV'97), Tel-Aviv 1997 - -
Cnf H.T. Siegelmann Recurrent Neural Networks AMS Proceedings, Park-City, 8 1995 - -
Cnf Hava T. Siegelmann Welcoming the Super Turing Theories SOFSEM 1995 - -
Cnf Bill G. Horne, Hava T. Siegelmann, C. Lee Giles What NARX Networks Can Compute SOFSEM 1995 95-102 -
Cnf H.T. Siegelmann Recurrent Neural Networks and Finite Automata Proceedings of the Twelfth International Conference on Pattern Recognition 1994 - -
Cnf E. Nissan, H.T. Siegelmann, and A. Galperin An Integrated Symbolic and Neural Network Architecture for Machine Learning in the domain of Nuclear Engineering Proceedings of the Twelfth International Conference on Pattern Recognition 1994 - pdf
Cnf E. Nissan, H.T. Siegelmann, A. Galperin, and S. Kimhi Towards Full Atomization of the Discovery of Heuristics in a Nuclear Engineering Project: Integration with a Neural Information Language Proceedings of the Eight International Symposium on Methodologies for Intelligent Systems 1994 - -
Cnf H.T. Siegelmann Neural Programming Language Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), Vol 2. AAAI Press/The MIT Press 1994 877-882 -
Cnf B. DasGupta, H.T. Siegelmann, and E. Sontag On a Learnability Question Associated to Neural Networks with Continuous Activations Proceedings of the Sixth ACM Workshop on Computational Learning (COLT), New Brunswick NJ 1994 - pdf
Cnf H.T. Siegelmann On the Computational Power of Probabilistic and Faulty Neural Networks Proceedings of the International Colloquium on Automata, Languages, and Programming (ICALP) 1994 - -
Cnf J. Kilian and H.T. Siegelmann On the Power of Sigmoid Neural Networks Proceedings of the Fifth ACM Workshop on Computational Learning (COLT), Santa Cruz 1993 137-143 pdf
Cnf Hava T. Siegelmann, Ophir Frieder Document Allocation In Multiprocessor Information Retrieval Systems Advanced Database Systems 1993 289-310 -
Cnf H.T. Siegelmann and E.D. Sontag Analog Computation via Neural Networks Proceedings of the Second Israel Symposium on Theory of Computing and Systems (ISTCS), Natanya, Israel 1993 98-107 pdf
Cnf J.L. Balcázar, R. Gavalda, JH.T. Siegelmann, and E.D. Sontag Some Structural Complexity Aspects of Neural Computation Proceedings of the IEEE Conference on Structure in Complexity Theory, San Diego, California 1993 253-265 pdf
Cnf H.T. Siegelmann and E.D. Sontag Some Recent Results on Computing with 'Neural Nets' Proceedings of the IEEE Conference on Decision and Control, Tucson, Arizona 1992 1476-1481 pdf
Cnf H.T. Siegelmann and E.D. Sontag On the Computational Power of Neural Nets Proceedings of the Fifth ACM Workshop on Computational Learning Theory (COLT), Pittsburgh, Penn. 1992 440-449 pdf
Cnf H.T. Siegelmann, E.D. Sontag, and C.L. Giles The Complexity of Language Recognition by Neural Networks Algorithms, Software, Architecture, ed. J. van Leuwen, North Holland, Amsterdam (Proceedings of the Twelfth IFIP World Computer Congress) 1992 329-335 -
Cnf H.T. Siegelmann and O. Frieder The Allocation of Documents in Multiprocessor Information Retrieval Systems: An Application of Genetic Algorithms Proceedings of the IEEE Conference on Systems, Man, and Cybernetics, Charlottesville, Virginia 1991 - pdf
Cnf O. Frieder and H.T. Siegelmann On the Allocation of Documents in Multiprocessor Information Retrieval Systems Proceedings of the ACM Fourteenth Conference on Information Retrieval (SIGIR), Chicago, Illinois 1991 - pdf
Cnf H.T. Siegelmann and B.R. Badrinath Integrating Implicit Answers with Object-Oriented Queries Proceedings of the Conference on Very Large Data Bases, Barcelona, Spain 1991 - pdf