Hananel Hazan

发表

Stability and Topology in Reservoir Computing

Hananel Hazan, Larry M. Manevitz, 2010, MICAI.

Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques

Hananel Hazan, Lorraine O. Ramig, Larry M. Manevitz, 2014, 2014 IEEE International Conference on Software Science, Technology and Engineering.

The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness

Hananel Hazan, Larry M. Manevitz, L. Manevitz, 2016, IJCCI.

Interactions between Hemispheres When Disambiguating Ambiguous Homograph Words during Silent Reading

Hananel Hazan, Larry M. Manevitz, Zohar Eviatar, 2016, IJCCI.

Closed Loop Experiment Manager (CLEM)—An Open and Inexpensive Solution for Multichannel Electrophysiological Recordings and Closed Loop Experiments

Hananel Hazan, Noam E. Ziv, N. Ziv, 2017, Front. Neurosci..

Topological constraints and robustness in liquid state machines

Hananel Hazan, Larry M. Manevitz, L. Manevitz, 2012, Expert Syst. Appl..

Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract

Hananel Hazan, Larry M. Manevitz, Alex Frid, 2014, 2014 IEEE International Conference on Software Science, Technology and Engineering.

Locally Connected Spiking Neural Networks for Unsupervised Feature Learning

Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, 2019, Neural Networks.

Learning BOLD Response in fMRI by Reservoir Computing

Hananel Hazan, Diego Sona, Paolo Avesani, 2011, 2011 International Workshop on Pattern Recognition in NeuroImaging.

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game pdf

Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, 2019, Neural Networks.

Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine

Hananel Hazan, Diego Sona, Paolo Avesani, 2015, Neural Networks.

Unsupervised Learning with Self-Organizing Spiking Neural Networks

Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Two hemispheres—two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words

Hananel Hazan, Larry M. Manevitz, Zohar Eviatar, 2010, Annals of Mathematics and Artificial Intelligence.

Biometric data vulnerabilities : privacy implications

Hananel Hazan, Alžběta Krausová, Ján Matejka, 2018 .

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game

Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, 2019, Neural Networks.

Autonomous Decisions of Hybrid IT Systems with Biological Brain

Hananel Hazan, Alžběta Krausová, 2015 .

Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data

Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, 2019, Annals of Mathematics and Artificial Intelligence.

Differences and Interactions Between Cerebral Hemispheres When Processing Ambiguous Words

Hananel Hazan, Larry M. Manevitz, Zohar Eviatar, 2008, WAPCV.

The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks

Hananel Hazan, Larry M. Manevitz, Alex Frid, 2016, Trans. Comput. Collect. Intell..

Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI

Hananel Hazan, Tali Bitan, Larry M. Manevitz, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

ROBOTS WITH BIOLOGICAL BRAINS: AUTONOMY AND LIABILITY OF A SEMI-ARTIFICIAL LIFE FORM

Hananel Hazan, Alžběta Krausová, Hananel Hazan, 2017 .

Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words

Hananel Hazan, Larry M. Manevitz, Zohar Eviatar, 2007, NeSy.

Recognizing deep grammatical information during reading from event related fMRI

Hananel Hazan, Tali Bitan, Larry M. Manevitz, 2014, 2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel (IEEEI).

Reinforcement learning with a network of spiking agents

Hananel Hazan, Robert Kozma, Philip S. Thomas, 2019, 1910.06489.

Machine learning techniques and the existence of variant processes in humans declarative memory

Hananel Hazan, Larry M. Manevitz, Alex Frid, 2015, 2015 7th International Joint Conference on Computational Intelligence (IJCCI).

Reinforcement learning with spiking coagents pdf

Hananel Hazan, Robert Kozma, Philip S. Thomas, 2019, ArXiv.

Creating Free Will in Artificial Intelligence

Hananel Hazan, Alžběta Krausová, Hananel Hazan, 2013 .

Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping

Hananel Hazan, Larry M. Manevitz, Asaf Gilboa, 2015, Neural plasticity.