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Unsupervised Learning with Self-Organizing Spiking Neural Networks
- Hananel Hazan, D. J. Saunders, Darpan T. Sanghavi, H. Siegelmann, R. Kozma
- Computer ScienceInternational Joint Conference on Neural Networks…
- 1 July 2018
TLDR
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python
- Hananel Hazan, D. J. Saunders, R. Kozma
- Computer ScienceFront. Neuroinform.
- 4 June 2018
TLDR
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning
- D. J. Saunders, Devdhar Patel, Hananel Hazan, H. Siegelmann, R. Kozma
- Computer ScienceNeural Networks
- 12 April 2019
Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping
- Tali Atir-Sharon, Asaf Gilboa, Hananel Hazan, Ester Koilis, L. Manevitz
- Biology, PsychologyNeural plasticity
- 16 July 2015
TLDR
Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data
- Hananel Hazan, D. J. Saunders, Darpan T. Sanghavi, H. Siegelmann, R. Kozma
- Computer ScienceAnnals of Mathematics and Artificial Intelligence
- 4 June 2019
TLDR
Early diagnosis of Parkinson's disease via machine learning on speech data
- Hananel Hazan, D. Hilu, L. Manevitz, L. Ramig, S. Sapir
- Computer ScienceIEEE 27th Convention of Electrical and…
- 1 November 2012
TLDR
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game
- Devdhar Patel, Hananel Hazan, D. J. Saunders, H. Siegelmann, R. Kozma
- Computer ScienceNeural Networks
- 1 December 2019
Topological constraints and robustness in liquid state machines
- Hananel Hazan, L. Manevitz
- Computer ScienceExpert Syst. Appl.
- 1 February 2012
The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness
- Hananel Hazan, L. Manevitz
- Computer ScienceIJCCI
- 30 November 2016
TLDR
Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques
- A. Frid, Hananel Hazan, D. Hilu, L. Manevitz, L. Ramig, S. Sapir
- Computer ScienceIEEE International Conference on Software Science…
- 11 June 2014
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