Hananel Hazan
Orcid: 0000-0003-1446-1628
According to our database1,
Hananel Hazan
authored at least 28 papers
between 2007 and 2023.
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Bibliography
2023
Control Flow in Active Inference Systems - Part II: Tensor Networks as General Models of Control Flow.
IEEE Trans. Mol. Biol. Multi Scale Commun., June, 2023
Control Flow in Active Inference Systems - Part I: Classical and Quantum Formulations of Active Inference.
IEEE Trans. Mol. Biol. Multi Scale Commun., June, 2023
2022
Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning.
Frontiers Comput. Neurosci., 2022
Circuit Optimization Techniques for Efficient Ex-Situ Training of Robust Memristor Based Liquid State Machine.
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022
2020
Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data.
Ann. Math. Artif. Intell., 2020
2019
Neural Networks, 2019
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game.
Neural Networks, 2019
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games.
CoRR, 2019
2018
Frontiers Neuroinformatics, 2018
CoRR, 2018
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. Comput. Collect. Intell., 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
2013
PhD thesis, 2013
2012
Expert Syst. Appl., 2012
2011
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
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