Daniel Saunders
TitleCited byYear
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
92018
BindsNET: A machine learning-oriented spiking neural networks library in Python
H Hazan, DJ Saunders, H Khan, DT Sanghavi, HT Siegelmann, R Kozma
Frontiers in neuroinformatics 12, 89, 2018
92018
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
52018
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games
D Patel, H Hazan, DJ Saunders, H Siegelmann, R Kozma
arXiv preprint arXiv:1903.11012, 2019
22019
A Survey and Discussion of Memcomputing Machines
D Saunders
arXiv preprint arXiv:1704.06145, 2017
12017
Minibatch Processing in Spiking Neural Networks
DJ Saunders, C Sigrist, K Chaney, R Kozma, HT Siegelmann
arXiv preprint arXiv:1909.02549, 2019
2019
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
Reasoning and Generalization in RL: A Tool Use Perspective
S Wenke, D Saunders, M Qiu, J Fleming
arXiv preprint arXiv:1907.02050, 2019
2019
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, 1-24, 2019
2019
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning
DJ Saunders, D Patel, H Hazan, HT Siegelmann, R Kozma
arXiv preprint arXiv:1904.06269, 2019
2019
Investigating the Power of Circuits with Gates
DJ Saunders
arXiv preprint arXiv:1810.05603, 2018
2018
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Articles 1–11