| 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 | 309 | 2018 |
| 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 | 88 | 2018 |
| 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 | 85 | 2019 |
| Decoding the formation of new semantics: MVPA investigation of rapid neocortical plasticity during associative encoding through fast mapping T Atir-Sharon, A Gilboa, H Hazan, E Koilis, LM Manevitz Neural plasticity 2015 (1), 804385, 2015 | 80 | 2015 |
| Computational diagnosis of Parkinson's disease directly from natural speech using machine learning techniques A Frid, EJ Safra, H Hazan, LL Lokey, D Hilu, L Manevitz, LO Ramig, ... 2014 IEEE international conference on software science, technology and …, 2014 | 76 | 2014 |
| Locally connected spiking neural networks for unsupervised feature learning DJ Saunders, D Patel, H Hazan, HT Siegelmann, R Kozma Neural Networks 119, 332-340, 2019 | 68 | 2019 |
| Early diagnosis of Parkinson's disease via machine learning on speech data H Hazan, D Hilu, L Manevitz, LO Ramig, S Sapir 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 1-4, 2012 | 66 | 2012 |
| Topological constraints and robustness in liquid state machines H Hazan, LM Manevitz Expert Systems with Applications 39 (2), 1597-1606, 2012 | 48 | 2012 |
| Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data H Hazan, DJ Saunders, DT Sanghavi, H Siegelmann, R Kozma Annals of Mathematics and Artificial Intelligence 88, 1237-1260, 2020 | 22 | 2020 |
| Early diagnosis of parkinson’s disease via machine learning on speech data, in 2012 ieee 27th convention of electrical and electronics engineers in israel H Hazan, D Hilu, L Manevitz, LO Ramig, S Sapir Google Scholar Google Scholar Cross Ref Cross Ref, 2012 | 18 | 2012 |
| Stability and topology in reservoir computing L Manevitz, H Hazan Advances in Soft Computing: 9th Mexican International Conference on …, 2010 | 15 | 2010 |
| Dynamic clamp constructed phase diagram for the Hodgkin and Huxley model of excitability H Ori, H Hazan, E Marder, S Marom Proceedings of the National Academy of Sciences 117 (7), 3575-3582, 2020 | 13 | 2020 |
| Creating free will in artificial intelligence A Krausová, H Hazan Beyond AI: Artificial Golem Intelligence 96, 2013 | 11 | 2013 |
| Two hemispheres—two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words O Peleg, L Manevitz, H Hazan, Z Eviatar Annals of Mathematics and Artificial Intelligence 59, 125-147, 2010 | 11 | 2010 |
| Control flow in active inference systems—part I: classical and quantum formulations of active inference C Fields, F Fabrocini, K Friston, JF Glazebrook, H Hazan, M Levin, ... IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 9 …, 2023 | 10 | 2023 |
| The liquid state machine is not robust to problems in its components but topological constraints can restore robustness H Hazan, L Manevitz International Conference on Neural Computation 2, 258-264, 2010 | 10 | 2010 |
| Differences and interactions between cerebral hemispheres when processing ambiguous words O Peleg, Z Eviatar, H Hazan, L Manevitz International Workshop on Attention in Cognitive Systems, 367-380, 2007 | 8 | 2007 |
| Control flow in active inference systems—part II: tensor networks as general models of control flow C Fields, F Fabrocini, K Friston, JF Glazebrook, H Hazan, M Levin, ... IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 9 …, 2023 | 7 | 2023 |
| Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning D Haşegan, M Deible, C Earl, D D’Onofrio, H Hazan, H Anwar, ... Frontiers in Computational Neuroscience 16, 1017284, 2022 | 7 | 2022 |
| Closed loop experiment manager (CLEM)—an open and inexpensive solution for multichannel electrophysiological recordings and closed loop experiments H Hazan, NE Ziv Frontiers in Neuroscience 11, 579, 2017 | 7 | 2017 |
Larry ManevitzUniversity of Haifa, Israel and Ariel UniversityVerified email at cs.haifa.ac.il
