Hava Siegelmann

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Asa Ben-HurComputer Science, Colorado State UniversityVerified email at cs.colostate.edu
Eduardo SontagNortheastern University ECE and BioEVerified email at northeastern.edu
vapnikProfessor of Columbia, Fellow of NEC Labs America, Verified email at nec-labs.com
Megan M. OlsenLoyola University MarylandVerified email at loyola.edu
C Lee GilesPennsylvania State UniversityVerified email at psu.edu
Bill HornePrincipal Product Manager, AWS CryptographyVerified email at amazon.com
Jose L. BalcazarProfessor, Computer Science, Universitat Politècnica de CatalunyaVerified email at upc.edu
Leon GlassProfessor of Physiology, McGill UniversityVerified email at mcgill.ca
Bhaskar DasGuptaProfessor of Computer Science, University of Illinois at ChicagoVerified email at uic.edu
Kyle HarringtonChan Zuckerberg InitiativeVerified email at chanzuckerberg.com
Ricard GavaldàUniversitat Politècnica de Catalunya + Amalfi AnalyticsVerified email at cs.upc.edu
Dino LevyAssociate Professor of Neuroeconomics and NeuromarketingVerified email at post.tau.ac.il
João Pedro NetoLASIGE, Dep. de Informática, Faculdade de Ciências, Universidade de Lisboa, PortugalVerified email at fc.ul.pt
Joshua FeinbergUniversity of Haifa and TechnionVerified email at physics.technion.ac.il
Dmitry NowickiUMASS Amherst, Computer Science DeptVerified email at cs.umass.edu
Hod LipsonProfessor of Mechanical Engineering, Columbia UniversityVerified email at columbia.edu
Theodore J. PerkinsOttawa Hospital Research InstituteVerified email at ohri.ca
Pat VergaResearch Scientist GoogleVerified email at google.com
Ronald R YagerProfessor Iona CollegeVerified email at panix.com
Frederick C Harris, Jr.Professor of Computer Science and Engineering, University of NevadaVerified email at cse.unr.edu

Hava Siegelmann

Professor of Computer Science, and Brain Sciences, UMass Amherst

Verified email at cs.umass.edu

AI Computational Neuroscience Computational Biology


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Support vector clustering A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Journal of machine learning research 2 (Dec), 125-137, 2001	2024	2001
On the computational power of neural nets HT Siegelmann, ED Sontag Proceedings of the fifth annual workshop on Computational learning theory …, 1992	1316	1992
Neural networks and analog computation: beyond the Turing limit HT Siegelmann Springer Science & Business Media, 2012	724	2012
Computational capabilities of recurrent NARX neural networks HT Siegelmann, BG Horne, CL Giles IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 27 …, 1997	582	1997
Turing computability with neural nets HT Siegelmann, ED Sontag Applied Mathematics Letters 4 (6), 77-80, 1991	562	1991
Analog computation via neural networks HT Siegelmann, ED Sontag Theoretical Computer Science 131 (2), 331-360, 1994	553	1994
Computation beyond the Turing limit HT Siegelmann Science 268 (5210), 545-548, 1995	445	1995
Posttranscriptional regulation of BK channel splice variant stability by miR-9 underlies neuroadaptation to alcohol AZ Pietrzykowski, RM Friesen, GE Martin, SI Puig, CL Nowak, PM Wynne, ... Neuron 59 (2), 274-287, 2008	374	2008
Brain-inspired replay for continual learning with artificial neural networks GM Van de Ven, HT Siegelmann, AS Tolias Nature communications 11 (1), 4069, 2020	307	2020
Bindsnet: A machine learning-oriented spiking neural networks library in python H Hazan, DJ Saunders, H Khan, D Patel, DT Sanghavi, HT Siegelmann, ... Frontiers in neuroinformatics 12, 89, 2018	253	2018
A support vector clustering method A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000	173	2000
The dynamic universality of sigmoidal neural networks J Kilian, HT Siegelmann Information and computation 128 (1), 48-56, 1996	142	1996
Symbolic dynamics and computation in model gene networks R Edwards, HT Siegelmann, K Aziza, L Glass Chaos: An Interdisciplinary Journal of Nonlinear Science 11 (1), 160-169, 2001	126	2001
A support vector method for clustering A Ben-Hur, D Horn, H Siegelmann, V Vapnik Advances in Neural Information Processing Systems 13, 2000	118	2000
The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions P Taylor, JN Hobbs, J Burroni, HT Siegelmann Scientific reports 5 (1), 18112, 2015	117	2015
Analog computation with dynamical systems HT Siegelmann, S Fishman Physica D: Nonlinear Phenomena 120 (1-2), 214-235, 1998	110	1998
Neural and super-Turing computing HT Siegelmann Minds and Machines 13, 103-114, 2003	103	2003
Replay in deep learning: Current approaches and missing biological elements TL Hayes, GP Krishnan, M Bazhenov, HT Siegelmann, TJ Sejnowski, ... Neural computation 33 (11), 2908-2950, 2021	84	2021
Input variable selection for neural networks: Application to predicting the US business cycle J Utans, J Moody, S Rehfuss, H Siegelmann Proceedings of 1995 Conference on Computational Intelligence for Financial …, 1995	80	1995
Unsupervised learning with self-organizing spiking neural networks H Hazan, D Saunders, DT Sanghavi, H Siegelmann, R Kozma 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018	79	2018

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