Unsupervised Learning with Self-Organizing Spiking Neural Networks. - Hananel Hazan; Daniel J. Saunders; Darpan T. Sanghavi; Hava T. Siegelmann; Robert Kozma 001 (IJCNN, 2018)

STDP Learning of Image Patches with Convolutional Spiking Neural Networks. - Daniel J. Saunders; Hava T. Siegelmann; Robert Kozma 001; Miklós Ruszinkó (IJCNN, 2018)

BindsNET: A machine learning-oriented spiking neural networks library in Python. - Hananel Hazan; Daniel J. Saunders; Hassaan Khan; Darpan T. Sanghavi; Hava T. Siegelmann; Robert Kozma 001 (CoRR, 2018)

Investigating the Power of Circuits with MOD6 Gates. - Daniel J. Saunders (CoRR, 2018)

BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. - Hananel Hazan; Daniel J. Saunders; Hassaan Khan; Devdhar Patel; Darpan T. Sanghavi; Hava T. Siegelmann; Robert Kozma 001 (Frontiers Neuroinformatics, 2018)

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games. - Devdhar Patel; Hananel Hazan; Daniel J. Saunders; Hava T. Siegelmann; Robert Kozma 001 (CoRR, 2019)

Minibatch Processing in Spiking Neural Networks. - Daniel J. Saunders; Cooper Sigrist; Kenneth Chaney; Robert Kozma 001; Hava T. Siegelmann (CoRR, 2019)

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game. - Devdhar Patel; Hananel Hazan; Daniel J. Saunders; Hava T. Siegelmann; Robert Kozma 001 (Neural Networks, 2019)

Locally connected spiking neural networks for unsupervised feature learning. - Daniel J. Saunders; Devdhar Patel; Hananel Hazan; Hava T. Siegelmann; Robert Kozma 001 (Neural Networks, 2019)

Minibatch Processing for Speed-up and Scalability of Spiking Neural Network Simulation. - Daniel J. Saunders; Cooper Sigrist; Kenneth Chaney; Robert Kozma 001; Hava T. Siegelmann (IJCNN, 2020)

Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data. - Hananel Hazan; Daniel J. Saunders; Darpan T. Sanghavi; Hava T. Siegelmann; Robert Kozma 001 (Ann. Math. Artif. Intell., 2020)