| 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 | 25* | 2020 |
| Neuromorphic hardware learns to learn T Bohnstingl, F Scherr, C Pehle, K Meier, W Maass Frontiers in neuroscience 13, 483, 2019 | 19 | 2019 |
| Online spatio-temporal learning in deep neural networks T Bohnstingl, S Woźniak, W Maass, A Pantazi, E Eleftheriou arXiv preprint arXiv:2007.12723, 2020 | 3 | 2020 |
| Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation RL Bruce, SG Sarwat, I Boybat, CW Cheng, W Kim, SR Nandakumar, ... 2021 IEEE International Reliability Physics Symposium (IRPS), 1-6, 2021 | 1 | 2021 |
| Neuromorphic device with crossbar array structure storing both weights and neuronal states of neural networks T Bohnstingl, A Pantazi, ES Eleftheriou US Patent App. 16/685,045, 2021 | | 2021 |
| Accelerating Spiking Neural Networks using Memristive Crossbar Arrays T Bohnstingl, A Pantazi, E Eleftheriou 2020 27th IEEE International Conference on Electronics, Circuits and Systems …, 2020 | | 2020 |
| Biologically Inspired dynamics Enhance deep Learning S Woźniak, T Bohnstingl, A Pantazi Brain-inspired Computing, 8, 0 | | |
