| Deep convolutional spiking neural networks for image classification R Vaila Boise State University, 2021 | 31 | 2021 |
| A deep unsupervised feature learning spiking neural network with binarized classification layers for the EMNIST classification R Vaila, J Chiasson, V Saxena IEEE transactions on emerging topics in computational intelligence 6 (1 …, 2020 | 30 | 2020 |
| Feature extraction using spiking convolutional neural networks R Vaila, J Chiasson, V Saxena Proceedings of the international conference on neuromorphic systems, 1-8, 2019 | 26 | 2019 |
| Continuous learning in a single-incremental-task scenario with spike features R Vaila, J Chiasson, V Saxena International Conference on Neuromorphic Systems 2020, 1-4, 2020 | 7 | 2020 |
| Regression with Deep Learning for Sensor Performance Optimization R Vaila, D Lloyd, K Tetz arXiv preprint arXiv:2002.11044 (Workshop on Microelectronics and Electron …, 2020 | 5 | 2020 |
| Spiking CNNs with PYNN and NEURON R Vaila, J Chiasson, V Saxena Neuro Inspired Computational Elements (NICE), 2018 | 2 | 2018 |
| Deep Spiking Neural Networks: Study on the MNIST and N-MNIST Data Sets R Vaila, J Chiasson, V Saxena | | 2019 |
| Sparse tensor correlation (convolution) with a dense tensor R Vaila, MK Latif | | 2018 |
