Hananel Hazan
Hananel Hazan
College of Information and Computer Sciences, University of Massachusetts Amherst, USA
Verified email at hazan.org.il - Homepage
TitleCited byYear
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, 2015
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
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
Topological constraints and robustness in liquid state machines
H Hazan, LM Manevitz
Expert Systems with Applications 39 (2), 1597-1606, 2012
BindsNET: A machine learning-oriented spiking neural networks library in Python
H Hazan, DJ Saunders, H Khan, DT Sanghavi, HT Siegelmann, R Kozma
Frontiers in neuroinformatics 12, 89, 2018
Stability and topology in reservoir computing
L Manevitz, H Hazan
Mexican International Conference on Artificial Intelligence, 245-256, 2010
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
Learning bold response in fmri by reservoir computing
P Avesani, H Hazan, E Koilis, L Manevitz, D Sona
2011 International Workshop on Pattern Recognition in NeuroImaging, 57-60, 2011
The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness.
H Hazan, LM Manevitz
IJCCI (ICFC-ICNC), 258-264, 2010
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 (1), 125-147, 2010
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
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
Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fmri
T Bitan, A Frid, H Hazan, LM Manevitz, H Shalelashvili, Y Weiss
2016 International Joint Conference on Neural Networks (IJCNN), 4637-4642, 2016
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
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games
D Patel, H Hazan, DJ Saunders, H Siegelmann, R Kozma
arXiv preprint arXiv:1903.11012, 2019
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
The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks
A Frid, H Hazan, E Koilis, LM Manevitz, M Merhav, G Star
Transactions on Computational Collective Intelligence XXIV, 117-133, 2016
Machine learning techniques and the existence of variant processes in humans declarative memory
A Frid, H Hazan, E Koilis, LM Manevitz, M Merhav, G Star
2015 7th International Joint Conference on Computational Intelligence (IJCCI†…, 2015
Creating Free Will in Artificial Intelligence
A KrausovŠ, H Hazan
Beyond AI: Artificial Golem Intelligence, 96, 2013
CSIndexbr: Exploring the Brazilian Scientific Production in Computer Science
MT Valente, K Paix„o
arXiv preprint arXiv:1807.09266, 2018
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