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Hananel Hazan
Hananel Hazan
Allen Discovery Center, Tufts University, USA
Verified email at hazan.org.il - Homepage
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Cited by
Year
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
2972018
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
862018
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
802019
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
772015
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
712014
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
652012
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
622019
Topological constraints and robustness in liquid state machines
H Hazan, LM Manevitz
Expert Systems with Applications 39 (2), 1597-1606, 2012
452012
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
222020
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
182012
Stability and topology in reservoir computing
L Manevitz, H Hazan
Advances in Soft Computing: 9th Mexican International Conference on …, 2010
142010
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
132020
Creating free will in artificial intelligence
A Krausová, H Hazan
Beyond AI: Artificial Golem Intelligence 96, 2013
112013
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
102010
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
102010
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
82007
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
72023
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
72017
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine
P Avesani, H Hazan, E Koilis, LM Manevitz, D Sona
Neural Networks 70, 61-73, 2015
72015
Temporal pattern recognition via temporal networks of temporal neurons
A Frid, H Hazan, L Manevitz
2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 1-4, 2012
72012
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Articles 1–20