Hananel Hazan

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 21

Top Topics

Biologically Plausible

Spiking Neural Networks

Machine Learning

Top Venues

Neural Networks

IEEE Trans. Mol. Biol. Multi Scale Commun.

Publications

Aidan Kierans, Avijit Ghosh, Hananel Hazan, Shiri Dori-Hacohen
Quantifying Misalignment Between Agents. CoRR (2024)
Chris Fields, Filippo Fabrocini, Karl J. Friston, James F. Glazebrook, Hananel Hazan, Michael Levin, Antonino Marciano
Control Flow in Active Inference Systems - Part II: Tensor Networks as General Models of Control Flow. IEEE Trans. Mol. Biol. Multi Scale Commun. 9 (2) (2023)
Chris Fields, Filippo Fabrocini, Karl J. Friston, James F. Glazebrook, Hananel Hazan, Michael Levin, Antonino Marciano
Control Flow in Active Inference Systems - Part I: Classical and Quantum Formulations of Active Inference. IEEE Trans. Mol. Biol. Multi Scale Commun. 9 (2) (2023)
Hananel Hazan, Simon Caby, Christopher Earl, Hava T. Siegelmann, Michael Levin
Memory via Temporal Delays in weightless Spiking Neural Network. CoRR (2022)
Daniel Hasegan, Matt Deible, Christopher Earl, David Donofrio, Hananel Hazan, Haroon Anwar, Samuel A. Neymotin
Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning. Frontiers Comput. Neurosci. 16 (2022)
Alex Henderson, Chris Yakopcic, Steven Harbour, Tarek M. Taha, Cory E. Merkel, Hananel Hazan
Circuit Optimization Techniques for Efficient Ex-Situ Training of Robust Memristor Based Liquid State Machine. NANOARCH (2022)
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data. Ann. Math. Artif. Intell. 88 (11) (2020)
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data. CoRR (2019)
Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning. CoRR (2019)
Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game. Neural Networks 120 (2019)
Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games. CoRR (2019)
Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthi, Hananel Hazan, Philip S. Thomas, Robert Kozma
Reinforcement learning with spiking coagents. CoRR (2019)
Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
Locally connected spiking neural networks for unsupervised feature learning. Neural Networks 119 (2019)
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
Unsupervised Learning with Self-Organizing Spiking Neural Networks. CoRR (2018)
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
Unsupervised Learning with Self-Organizing Spiking Neural Networks. IJCNN (2018)
Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. Frontiers Neuroinformatics 12 (2018)
Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
BindsNET: A machine learning-oriented spiking neural networks library in Python. CoRR (2018)
Alex Frid, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Maayan Merhav, Gal Star
The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks. Trans. Comput. Collect. Intell. 24 (2016)
Tali Bitan, Alex Frid, Hananel Hazan, Larry M. Manevitz, Haim Shalelashvili, Yael Weiss
Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI. IJCNN (2016)
Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine. Neural Networks 70 (2015)
Alex Frid, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Maayan Merhav, Gal Star
Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory. IJCCI (NCTA) (2015)
Alex Frid, Hananel Hazan, Larry M. Manevitz
Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract. SwSTE (2014)
Alex Frid, Hananel Hazan, Dan Hilu, Larry M. Manevitz, Lorraine O. Ramig, Shimon Sapir
Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques. SwSTE (2014)
Hananel Hazan, Larry M. Manevitz
Topological constraints and robustness in liquid state machines. Expert Syst. Appl. 39 (2) (2012)
Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona
Learning BOLD Response in fMRI by Reservoir Computing. PRNI (2011)
Orna Peleg, Larry M. Manevitz, Hananel Hazan, Zohar Eviatar
Two hemispheres - two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words. Ann. Math. Artif. Intell. 59 (1) (2010)
Zohar Eviatar, Hananel Hazan, Larry M. Manevitz, Orna Peleg, Rom Timor
Interactions between Hemispheres When Disambiguating Ambiguous Homograph Words during Silent Reading. IJCCI (ICFC-ICNC) (2010)
Larry M. Manevitz, Hananel Hazan
Stability and Topology in Reservoir Computing. MICAI (2) (2010)
Hananel Hazan, Larry M. Manevitz
The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness. IJCCI (ICFC-ICNC) (2010)
Orna Peleg, Zohar Eviatar, Hananel Hazan, Larry M. Manevitz
Differences and Interactions Between Cerebral Hemispheres When Processing Ambiguous Words. WAPCV (2007)
Orna Peleg, Zohar Eviatar, Larry M. Manevitz, Hananel Hazan
Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words. NeSy (2007)