Hava Siegelmann

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Asa Ben-HurComputer Science, Colorado State UniversityEmail confirmado em cs.colostate.edu
Eduardo SontagNortheastern University ECE and BioEEmail confirmado em northeastern.edu
vapnikProfessor of Columbia, Fellow of NEC Labs America, Email confirmado em nec-labs.com
C Lee GilesPennsylvania State UniversityEmail confirmado em psu.edu
Megan M. OlsenLoyola University MarylandEmail confirmado em loyola.edu
Bill HorneSenior Manager, AWS CryptographyEmail confirmado em amazon.com
Jose L. BalcazarProfessor, Computer Science, Universitat Politècnica de CatalunyaEmail confirmado em upc.edu
Bhaskar DasGuptaProfessor of Computer Science, University of Illinois at ChicagoEmail confirmado em uic.edu
Leon GlassProfessor of Physiology, McGill UniversityEmail confirmado em mcgill.ca
Ricard GavaldàUniversitat Politècnica de Catalunya + Amalfi AnalyticsEmail confirmado em cs.upc.edu
Kyle HarringtonChan Zuckerberg Institute for Advanced Biological ImagingEmail confirmado em czii.org
Dino LevyAssociate Professor of Neuroeconomics and NeuromarketingEmail confirmado em post.tau.ac.il
João Pedro NetoLASIGE, Dep. de Informática, Faculdade de Ciências, Universidade de Lisboa, PortugalEmail confirmado em fc.ul.pt
Joshua FeinbergUniversity of Haifa and TechnionEmail confirmado em physics.technion.ac.il
Dmitry NowickiUMASS Amherst, Computer Science DeptEmail confirmado em cs.umass.edu
Hod LipsonProfessor of Mechanical Engineering, Columbia UniversityEmail confirmado em columbia.edu
Theodore J. PerkinsOttawa Hospital Research InstituteEmail confirmado em ohri.ca
Ronald R YagerProfessor Iona CollegeEmail confirmado em panix.com
Pat VergaCohereEmail confirmado em cohere.com
Frederick C Harris, Jr.Professor of Computer Science and Engineering, University of NevadaEmail confirmado em cse.unr.edu

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Hava Siegelmann

Professor of Computer Science, and Brain Sciences, UMass Amherst

Email confirmado em cs.umass.edu

AI Computational Neuroscience Computational Biology


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Support vector clustering A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Journal of machine learning research 2 (Dec), 125-137, 2001	2204	2001
On the computational power of neural nets HT Siegelmann, ED Sontag Proceedings of the fifth annual workshop on Computational learning theory …, 1992	1477	1992
Neural networks and analog computation: beyond the Turing limit HT Siegelmann Springer Science & Business Media, 2012	756	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	634	1997
Turing computability with neural nets HT Siegelmann, ED Sontag Applied Mathematics Letters 4 (6), 77-80, 1991	604	1991
Analog computation via neural networks HT Siegelmann, ED Sontag Theoretical Computer Science 131 (2), 331-360, 1994	580	1994
Brain-inspired replay for continual learning with artificial neural networks GM Van de Ven, HT Siegelmann, AS Tolias Nature communications 11 (1), 4069, 2020	578	2020
Computation beyond the Turing limit HT Siegelmann Science 268 (5210), 545-548, 1995	464	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	394	2008
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	338	2018
Biological underpinnings for lifelong learning machines D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ... Nature Machine Intelligence 4 (3), 196-210, 2022	237	2022
A support vector clustering method A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000	179	2000
The dynamic universality of sigmoidal neural networks J Kilian, HT Siegelmann Information and computation 128 (1), 48-56, 1996	157	1996
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	148	2021
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	147	2015
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
Analog computation with dynamical systems HT Siegelmann, S Fishman Physica D: Nonlinear Phenomena 120 (1-2), 214-235, 1998	120	1998
Neural and super-Turing computing HT Siegelmann Minds and Machines 13, 103-114, 2003	111	2003
A support vector method for hierarchical clustering A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Advances in neural information processing systems 13, 367-373, 2001	110	2001
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game D Patel, H Hazan, DJ Saunders, HT Siegelmann, R Kozma Neural Networks 120, 108-115, 2019	102	2019

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