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2020 – today
- 2020
[j4]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): 1237-1260 (2020)- [c3]Daniel J. Saunders, Cooper Sigrist, Kenneth Chaney, Robert Kozma, Hava T. Siegelmann:
Minibatch Processing for Speed-up and Scalability of Spiking Neural Network Simulation. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j3]Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma:
Locally connected spiking neural networks for unsupervised feature learning. Neural Networks 119: 332-340 (2019) - [j2]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: 108-115 (2019) - [i8]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 abs/1903.11012 (2019) - [i7]Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma:
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning. CoRR abs/1904.06269 (2019) - [i6]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 abs/1906.11826 (2019) - [i5]Daniel J. Saunders, Cooper Sigrist, Kenneth Chaney, Robert Kozma, Hava T. Siegelmann:
Minibatch Processing in Spiking Neural Networks. CoRR abs/1909.02549 (2019) - 2018
- [j1]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: 89 (2018) - [c2]Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma:
Unsupervised Learning with Self-Organizing Spiking Neural Networks. IJCNN 2018: 1-6 - [c1]Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma, Miklós Ruszinkó:
STDP Learning of Image Patches with Convolutional Spiking Neural Networks. IJCNN 2018: 1-7 - [i4]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 abs/1806.01423 (2018) - [i3]Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma:
Unsupervised Learning with Self-Organizing Spiking Neural Networks. CoRR abs/1807.09374 (2018) - [i2]Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma, Miklós Ruszinkó:
STDP Learning of Image Patches with Convolutional Spiking Neural Networks. CoRR abs/1808.08173 (2018) - [i1]Daniel J. Saunders:
Investigating the Power of Circuits with MOD6 Gates. CoRR abs/1810.05603 (2018)
Coauthor Index
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