|
Publications
|
|
|
H.T. Siegelmann Neural Networks and Analog Computation: Beyond the Turing Limit, Birkhauser Boston, December 1998 More information here |
|
|
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 |
| Type | Author | Title | Publication Information | Date | Pages/Volume/Issue | Links |
|---|---|---|---|---|---|---|
| Ppt | S. M. de Bruyn Kops, D. J. Saunders, E. A. Rietman, G. D. Portwood | Unsupervised Machine Learning to Teach Fluid Dynamicists to Think in 15 Dimensions | Arxiv (Fluid Dynamics) | 2019 | arXiv:1907.10035 | url |
| Cnf | Anonymous Authors | Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games | - | 2019 | - | url |
| Ppt | Brant, E. J., Rietman, E. A., Lakka-Klement, G., Cavaglia, M., Tuszynski, J. A. | Personalized Therapy Design for Systemic Lupus Erythematosus Based on the Analysis of Protein-Protein Interaction Networks | bioRxiv (Systems Biology) | 2019 | doi: https://doi.org/10.1101/559740 | url |
| Ppt | Kohan, A. A., Rietman, E. A., H. T. Siegelmann | Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning | Arxiv (Neural and Evolutionary Computing) | 2018 | arXiv:1808.03357 | url |
| Ppt | Golas, S. M., Nguyen, A. N., Rietman, E. A, Tuszynski, J. A. | Gibbs Free Energy of Protein-Protein Interactions Correlates with ATP Production in Cancer Cells | bioRxiv (Biophysics) | 2018 | doi: https://doi.org/10.1101/498121 | url |
| Ppt | Keegan, M., Siegelmann, H. T., Rietman, E. A., Klement, G. L. | Gibbs Free Energy, a thermodynamic measure of protein-protein interactions, correlates with neurologic disability | bioRxiv (Biophysics) | 2019 | doi: https://doi.org/10.1101/527820 | url |
| Ppt | Rietman, E. A., Taylor, S., Siegelmann, H. T., Cavaglia, M., Tuszynski, J. A. | Thermodynamic Measures of Human Brain Development from Fetal Stage to Adulthood | bioRxiv (Neuroscience) | 2019 | doi: https://doi.org/10.1101/547364 | url |
| Cnf | Kozma, R., R. Ilin, H. T. Siegelmann | Evolution of Abstraction Across Layers in Deep Learning Neural Networks. | INNS Conference on Big Data and Deep Learning | 2018 | doi: 10.1016/j.procs.2018.10.520 | url |
| Cnf | Davis, J.J.J., R. Kozma | Visualization of Human Cognitive States Monitored by High-density EEG Arrays | INNS Conference on Big Data and Deep Learning | 2018 | doi: 10.1016/j.procs.2018.10.522 | url |
| Cnf | Saunders, D.J., H. T. Siegelmann, R. Kozma | STDP Learning of Image Patches with Convolutional Spiking Neural Networks | International Joint Conference on Neural Networks (IJCNN) | 2018 | doi: 10.1109/IJCNN.2018.8489684 | url |
| Cnf | Andrade, G., M. Ruszinko, R. Kozma | Graph Models of Neurodynamics to Support Oscillatory Associative Memories | International Joint Conference on Neural Networks (IJCNN) | 2018 | doi: 10.1109/IJCNN.2018.8489419 | url |
| Cnf | Hazan, H., D. Saunders, D.T. Sanghavi, H.T. Siegelmann, R. Kozma | Unsupervised Learning with Self-Organizing Spiking Neural Networks | International Joint Conference on Neural Networks (IJCNN) | 2018 | doi: 10.1109/IJCNN.2018.8489673 | url |
| Cnf | Hazan, H., D. Saunders, D.T. Sanghavi, H.T. Siegelmann, R. Kozma | Unsupervised Learning with Self-Organizing Spiking Neural Networks | International Joint Conference on Neural Networks (IJCNN) | 2018 | doi: 10.1109/IJCNN.2018.8489673 | url |
| Cnf | Noack, R., J.J.J. Davis, C. Manjesh, R. Kozma | Neuro-energetic aspects of cognition — The role of pulse-wave-pulse conversion in the interpretation of brain imaging data | IEEE Symposium Series on Computational Intelligence (SSCI) | 2017 | doi: 10.1109/SSCI.2017.8285448 | url |
| Cnf | Davis, J.J.J., R. Kozma | Amplitude-phase relationship of brain dynamics viewed by ECoG using FIR-based Hilbert analysis | IEEE Symposium Series on Computational Intelligence (SSCI) | 2017 | doi: 10.1109/SSCI.2017.8285234 | url |
| Jrn | Mark H. Myers, Robert Kozma | Mesoscopic neuron population modeling of normal/epileptic brain dynamics | Cognitive Neurodynamics | 2018 | doi: 10.1007/s11571-017-9468-7 | url |
| Jrn | Hossain, G., Myers, M.H. and Kozma, R. | Spatial Directionality Found in Frontal-Parietal Attentional Networks | Neuroscience Journal | 2018 | doi: 10.1155/2018/7879895 | url |
| Jrn | Leslie M. Kay, Robert Kozma | Walter J. Freeman: A Tribute | Neuron | 2017 | doi: 10.1016/j.neuron.2017.04.035 | url |
| Jrn | Minho Lee, Steven Bressler, Robert Kozma | Advances in Cognitive Engineering Using Neural Networks | Neural Networks | 2017 | doi: 10.1016/j.neunet.2017.05.012 | url |
| Jrn | Svante Janson, Robert Kozma, Miklós Ruszinkó, Yury Sokolov | A modified bootstrap percolation on a random graph coupled with a lattice | Discrete Applied Mathematics | 2018 | doi: 10.1016/j.dam.2018.11.006 | url |
| Jrn | Hazan Hananel, Saunders Daniel J., Khan Hassaan, Patel Devdhar, Sanghavi Darpan T., Siegelmann Hava T., Kozma Robert | BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python | Frontiers in Neuroinformatics | 2018 | doi: 10.3389/fninf.2018.00089 | url |
| 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 | |
| Jrn | R. Kozma, R. Noack | Freeman’s Intentional Neurodynamics | - | 2017 | - | |
| 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 | ||
| 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 | - | |
| 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 | - | |
| Cnf | David G Cooper, Dov Katz, Hava T. Siegelmann | Emotional Robotics: Tug of War | New England Student Conference on Artificial Intelligence(NESCAI) | 2008 | - | |
| 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 | - | |
| 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 | - | |
| 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 | - | |
| Cnf | L. Holzman and H. Siegelmann | Input-Driven Dynamic Attractors | Computational and Systems Neuroscience, Salt Lake City | 2007 | - | |
| Cnf | L. Holzman and H. Siegelmann | Exact Neural Inference over Graphical Models | Computational and Systems Neuroscience Salt Lake City | 2007 | - | |
| 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 | |
| Cnf | Kyle Harrington and Hava Siegelmann | Adaptive Multi-Modal Sensors | Proceedings of the 50th Anniversary Summit of Artificial Intelligence Summit, Switzerland | 2006 | - | |
| 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 | - | |
| 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 | - | |
| Cnf | Pedro Rodrigues, Jose Felix Costa, Hava T. Siegelmann | Verifying Properties of Neural Networks | IWANN (1) | 2001 | 158-165 | |
| 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 | |
| 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 | - | |
| 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 | |
| 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 | - | |
| 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 | |
| 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 | - | |
| 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 | |
| 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 | |
| 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 | - | |
| 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 | - | |
| 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 | - | |
| 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 | - | |
| 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 | - | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | - | |
| 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 | - | |
| 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 | - |
© 2007-2008 BINDS Lab, Computer Science Department, UMass Amherst