All-memristive neuromorphic computing with level-tuned neurons A Pantazi, S Woźniak, T Tuma, E Eleftheriou Nanotechnology 27 (35), 355205, 2016 | 81 | 2016 |
Review of advances in neural networks: Neural design technology stack AD Almási, S Woźniak, V Cristea, Y Leblebici, T Engbersen Neurocomputing 174, 31-41, 2016 | 56 | 2016 |
Deep learning incorporating biologically inspired neural dynamics and in-memory computing S Woźniak, A Pantazi, T Bohnstingl, E Eleftheriou Nature Machine Intelligence 2 (6), 325-336, 2020 | 21* | 2020 |
Learning spatio-temporal patterns in the presence of input noise using phase-change memristors S Wozniak, T Tuma, A Pantazi, E Eleftheriou Circuits and Systems (ISCAS), 2016 IEEE International Symposium on, 365-368, 2016 | 19 | 2016 |
Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns S Sidler, A Pantazi, S Woźniak, Y Leblebici, E Eleftheriou International Conference on Artificial Neural Networks, 281-288, 2017 | 11 | 2017 |
Review of advances in neural networks: Neural design technology stack S Woźniak, AD Almási, V Cristea, Y Leblebici, T Engbersen Proceedings of ELM-2014 Volume 1, 367-376, 2015 | 7 | 2015 |
Neuromorphic system with phase-change synapses for pattern learning and feature extraction S Woźniak, A Pantazi, Y Leblebici, E Eleftheriou 2017 International Joint Conference on Neural Networks (IJCNN), 3724-3732, 2017 | 6 | 2017 |
Building a cognitive platform for the managed IT services lifecycle K Kloeckner, CM Adam, N Anerousis, N Ayachitula, MF Bulut, G Dasgupta, ... IBM Journal of Research and Development 62 (1), 8: 1-8: 11, 2018 | 5 | 2018 |
Neuromorphic Architecture With 1M Memristive Synapses for Detection of Weakly Correlated Inputs S Woźniak, A Pantazi, S Sidler, N Papandreou, Y Leblebici, E Eleftheriou IEEE Transactions on Circuits and Systems II: Express Briefs 64 (11), 1342-1346, 2017 | 3 | 2017 |
Neuromorphic architecture for feature learning using a spiking neural network SA Wozniak, A Pantazi US Patent App. 15/725,320, 2019 | 2 | 2019 |
Feature Learning Using Synaptic Competition in a Dynamically-Sized Neuromorphic Architecture S Wozniak, A Pantazi, Y Leblebici, E Eleftheriou 2017 IEEE International Conference on Rebooting Computing (ICRC), 2017 | 2 | 2017 |
Neuromorphic architecture with multiple coupled neurons using internal state neuron information A Pantazi, T Tuma, S Wozniak US Patent 10,755,167, 2020 | 1 | 2020 |
Online spatio-temporal learning in deep neural networks T Bohnstingl, S Woźniak, W Maass, A Pantazi, E Eleftheriou arXiv preprint arXiv:2007.12723, 2020 | 1 | 2020 |
SPIKING SYNAPTIC ELEMENTS FOR SPIKING NEURAL NETWORKS A Pantazi, SA Wozniak, S Abel, J Fompeyrine US Patent App. 16/360,158, 2020 | | 2020 |
Neuromorphic Neuron Apparatus For Artificial Neural Networks S Wozniak, A Pantazi US Patent App. 16/295,007, 2020 | | 2020 |
Neuromorphic architecture for unsupervised pattern detection and feature learning A Pantazi, SA Wozniak US Patent 10,650,307, 2020 | | 2020 |
Neuromorphic processing apparatus A Pantazi, S Sidler, SA Wozniak US Patent App. 15/680,140, 2019 | | 2019 |
Online Feature Learning from a non-iid Stream in a Neuromorphic System with Synaptic Competition S Woźniak, A Pantazi, Y Leblebici, E Eleftheriou 2018 International Joint Conference on Neural Networks (IJCNN), 1-9, 2018 | | 2018 |
Unsupervised Learning of Phase-Change-Based Neuromorphic Systems SA Wozniak EPFL, 2017 | | 2017 |