Hananel Hazan

According to our database1, Hananel Hazan authored at least 22 papers between 2007 and 2019.

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Bibliography

2019
Locally connected spiking neural networks for unsupervised feature learning.
Neural Networks, 2019

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game.
Neural Networks, 2019

Reinforcement learning with spiking coagents.
CoRR, 2019

Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data.
CoRR, 2019

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games.
CoRR, 2019

2018
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python.
Front. Neuroinform., 2018

BindsNET: A machine learning-oriented spiking neural networks library in Python.
CoRR, 2018

Unsupervised Learning with Self-Organizing Spiking Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016
The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks.
Trans. Computational Collective Intelligence, 2016

Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.
Neural Networks, 2015

Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

2014
Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract.
Proceedings of the 2014 IEEE International Conference on Software Science, 2014

Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques.
Proceedings of the 2014 IEEE International Conference on Software Science, 2014

2012
Topological constraints and robustness in liquid state machines.
Expert Syst. Appl., 2012

2011
Learning BOLD Response in fMRI by Reservoir Computing.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

2010
Two hemispheres - two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words.
Ann. Math. Artif. Intell., 2010

Stability and Topology in Reservoir Computing.
Proceedings of the Advances in Soft Computing, 2010

The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness.
Proceedings of the ICFC-ICNC 2010, 2010

Interactions between Hemispheres When Disambiguating Ambiguous Homograph Words during Silent Reading.
Proceedings of the ICFC-ICNC 2010, 2010

2007
Differences and Interactions Between Cerebral Hemispheres When Processing Ambiguous Words.
Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007

Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words.
Proceedings of the 3rd International Workshop on Neural-Symbolic Learning and Reasoning, 2007


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