| Bindsnet: A machine learning-oriented spiking neural networks library in python H Hazan, DJ Saunders, H Khan, D Patel, DT Sanghavi, HT Siegelmann, ... Frontiers in neuroinformatics 12, 89, 2018 | 306 | 2018 |
| Unsupervised learning with self-organizing spiking neural networks H Hazan, D Saunders, DT Sanghavi, H Siegelmann, R Kozma 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018 | 88 | 2018 |
| Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game D Patel, H Hazan, DJ Saunders, HT Siegelmann, R Kozma Neural Networks 120, 108-115, 2019 | 85 | 2019 |
| Locally connected spiking neural networks for unsupervised feature learning DJ Saunders, D Patel, H Hazan, HT Siegelmann, R Kozma Neural Networks 119, 332-340, 2019 | 66 | 2019 |
| STDP learning of image patches with convolutional spiking neural networks DJ Saunders, HT Siegelmann, R Kozma 2018 international joint conference on neural networks (IJCNN), 1-7, 2018 | 46 | 2018 |
| Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data H Hazan, DJ Saunders, DT Sanghavi, H Siegelmann, R Kozma Annals of Mathematics and Artificial Intelligence 88, 1237-1260, 2020 | 22 | 2020 |
| Reasoning and generalization in rl: A tool use perspective S Wenke, D Saunders, M Qiu, J Fleming arXiv preprint arXiv:1907.02050, 2019 | 7 | 2019 |
| Stdp learning of image features with spiking neural networks DJ Saunders, HT Siegelmann, R Kozma, M Ruszinkó IEEE/INNS International Joint Conference on Neural Networks (IJCNN2018)(Rio …, 2018 | 4 | 2018 |
| Minibatch processing for speed-up and scalability of spiking neural network simulation DJ Saunders, C Sigrist, K Chaney, R Kozma, HT Siegelmann 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
| Minibatch processing in spiking neural networks DJ Saunders, C Sigrist, K Chaney, R Kozma, HT Siegelmann arXiv preprint arXiv:1909.02549, 2019 | 3 | 2019 |
| A Survey and Discussion of Memcomputing Machines D Saunders arXiv preprint arXiv:1704.06145, 2017 | 1 | 2017 |
| Unsupervised Machine Learning to Teach Fluid Dynamicists to Think in 15 Dimensions SM Kops, DJ Saunders, EA Rietman, GD Portwood arXiv preprint arXiv:1907.10035, 2019 | | 2019 |
| Investigating the Power of Circuits with Gates DJ Saunders arXiv preprint arXiv:1810.05603, 2018 | | 2018 |
Robert Kozma, Fellow IEEE, Fellow IN...University of Memphis, TN, USA & Óbuda University, Budapest, HungaryVerified email at memphis.edu
